US20190078897A1 - Vehicle control system and vehicle control device - Google Patents
Vehicle control system and vehicle control device Download PDFInfo
- Publication number
- US20190078897A1 US20190078897A1 US15/767,260 US201615767260A US2019078897A1 US 20190078897 A1 US20190078897 A1 US 20190078897A1 US 201615767260 A US201615767260 A US 201615767260A US 2019078897 A1 US2019078897 A1 US 2019078897A1
- Authority
- US
- United States
- Prior art keywords
- vehicle
- virtual lane
- information
- vehicle control
- link
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004891 communication Methods 0.000 claims abstract description 44
- 230000005856 abnormality Effects 0.000 claims description 9
- 238000000034 method Methods 0.000 description 59
- 230000005540 biological transmission Effects 0.000 description 50
- 238000012545 processing Methods 0.000 description 44
- 238000010586 diagram Methods 0.000 description 28
- 238000004364 calculation method Methods 0.000 description 27
- 238000012986 modification Methods 0.000 description 9
- 230000004048 modification Effects 0.000 description 9
- 230000000694 effects Effects 0.000 description 8
- 238000012935 Averaging Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
- G01C21/32—Structuring or formatting of map data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3807—Creation or updating of map data characterised by the type of data
- G01C21/3815—Road data
- G01C21/3822—Road feature data, e.g. slope data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/10—Path keeping
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/18—Propelling the vehicle
- B60W30/18009—Propelling the vehicle related to particular drive situations
- B60W30/18145—Cornering
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/18—Propelling the vehicle
- B60W30/18009—Propelling the vehicle related to particular drive situations
- B60W30/18154—Approaching an intersection
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/06—Road conditions
- B60W40/072—Curvature of the road
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3833—Creation or updating of map data characterised by the source of data
- G01C21/3841—Data obtained from two or more sources, e.g. probe vehicles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3833—Creation or updating of map data characterised by the source of data
- G01C21/3844—Data obtained from position sensors only, e.g. from inertial navigation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3863—Structures of map data
- G01C21/387—Organisation of map data, e.g. version management or database structures
- G01C21/3878—Hierarchical structures, e.g. layering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3885—Transmission of map data to client devices; Reception of map data by client devices
- G01C21/3896—Transmission of map data from central databases
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0062—Adapting control system settings
- B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0062—Adapting control system settings
- B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
- B60W2050/0083—Setting, resetting, calibration
- B60W2050/0088—Adaptive recalibration
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/05—Type of road, e.g. motorways, local streets, paved or unpaved roads
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/30—Road curve radius
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/10—Historical data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
Definitions
- the present invention relates to a vehicle control system and a vehicle control device.
- PTL 1 discloses an invention for detecting a white line on a road and causing a vehicle to automatically travel along the white line.
- the server includes a virtual lane generation section which generates virtual lane information relating to a virtual lane virtually set on a road at least based on traveling loci of other vehicles other than the vehicle, and a server communication section which transmits the virtual lane information generated by the virtual lane generation section to the vehicle control device
- the vehicle control device includes a vehicle communication section which receives the virtual lane information from the server, a target course generation section which generates a target course of the vehicle based on the virtual lane information, and a vehicle control section which causes the vehicle to move along the target course generated by the target course generation section.
- a vehicle control device mounted on a vehicle includes: a vehicle communication section which receives virtual lane information relating to a virtual lane virtually set on a road; a target course generation section which generates a target course of the vehicle based on the virtual lane information received by the vehicle communication section; and a vehicle control section which causes the vehicle to move along the target course generated by the target course generation section.
- a vehicle control device mounted on a vehicle includes: a storage section which stores virtual lane information relating to a virtual lane virtually set on a road at least based on traveling loci of other vehicles other than the vehicle; a target course generation section which generates a target course of the vehicle based on the virtual lane information stored in the storage section; and a vehicle control section which causes the vehicle to move along the target course generated by the target course generation section.
- FIG. 1 is a block diagram showing a configuration of a vehicle control system 1 .
- FIG. 2 is a diagram showing a data structure of map information 13 a.
- FIG. 3 is a diagram showing the data structure of the map information 13 a.
- FIG. 4 is a diagram explaining a node and a link.
- FIG. 5 is a flow chart illustrating an operation of main processing.
- FIG. 6 is a flow chart showing a processing operation of grasping a current position of an own vehicle.
- FIG. 7 is a flow chart showing a processing operation of grasping current positions of other vehicles.
- FIG. 8 is a flow chart showing a processing operation of route calculation.
- FIG. 9 is a flow chart showing processing of determining a target locus.
- FIG. 10 is a flow chart showing a processing operation of a virtual map correction.
- FIG. 11 is a diagram showing an example of a calculation result of a route.
- FIG. 12 is a diagram showing an example in which a plurality of virtual lanes are present.
- FIG. 13 is a diagram showing an example in which the plurality of virtual lanes are present at an annular intersection.
- FIG. 14 is a diagram showing an example in which the virtual lane is broken at the annular intersection.
- FIG. 15 is a diagram showing a generation example of the virtual lane at a tollgate exit of highway.
- FIG. 16 is a diagram showing a generation example of map information 43 a at a rotary.
- FIG. 17 is a flow chart showing an operation of main processing according to a second embodiment.
- FIG. 18 is a flow chart showing processing of determining a target locus according to the second embodiment.
- FIG. 19 is a diagram showing an example of a virtual lane when obstacles appear on a road.
- FIG. 20 is a diagram showing an example in which the virtual lane is set on a wide road on which a lane boundary line is not drawn.
- FIG. 21 is a diagram showing a traveling situation of a vehicle of each time zone on an upper road shown in FIG. 20 .
- FIG. 22 is a flow chart showing an operation of main processing according to a third embodiment.
- FIG. 23 is a flow chart showing traveling locus transmission processing.
- FIG. 24 is a flow chart showing generation processing of a virtual lane.
- FIG. 25 is a diagram showing an example of a transmission traveling locus.
- FIG. 26 is a diagram showing transmission traveling loci S 1 to S 7 stored in a server and transmission traveling loci P 1 to P 7 transmitted to the server.
- FIG. 27 is a block diagram showing a configuration of a vehicle control device according to a fourth embodiment.
- FIGS. 1 to 14 a first embodiment of a vehicle control system and a vehicle control device will be described with reference to FIGS. 1 to 14 .
- FIG. 1 is a block diagram showing a configuration of a vehicle control system 1 .
- the vehicle control system 1 includes a vehicle control device 2 and a server 40 .
- the vehicle control device 2 is mounted on a vehicle 5 .
- the vehicle control device 2 and the server 40 are connected to each other via a network.
- the server 40 is connected to a plurality of vehicle control devices 2 , but in FIG. 1 , only one vehicle control device 2 is illustrated. All vehicle control devices 2 are mounted on a vehicle.
- the vehicle control device 2 includes a navigation device 10 , a course calculation ECU 20 , and a vehicle control ECU 30 .
- the navigation device 10 includes a display 11 which presents information to a user, a switch 12 which receives an input from the user, a storage section 13 which stores information used for processing to be described below, a vehicle communication section 14 which performs communication with a server 40 , a GPS tuner 15 which calculates a position, a gyroscope 16 which calculates an attitude, a speaker 17 which presents information to the user, a route calculation section 18 which calculates a route to an input destination, and a navigation control section 19 .
- the switch 12 includes a plurality of buttons, and a driver uses the switch 12 to set the destination or to set presence or absence of an automatic operation request.
- the storage section 13 is a nonvolatile memory or a magnetic disk, and the storage section 13 stores map information 13 a .
- a data structure of the map information 13 a is described below.
- This map information 13 a includes not only information on a traveling lane which is defined by a mark line drawn on a road, but also information (hereinafter, referred to as “virtual lane information”) on a traveling lane which is virtually set on a road on which the mark line is not drawn.
- the virtual traveling lane specified by the virtual lane information is referred to as a “virtual lane” and a lane specified by a lane mark line drawn on a road is referred to as a “real lane”.
- the map information 13 a is used to grasp a position of an own vehicle, grasp positions of other vehicles, calculate a traveling route, or the like.
- the vehicle communication section 14 receives new map information from the server 40 and updates the map information 13 a of the storage section 13 .
- the GPS tuner 15 demodulates a signal received by a GPS antenna (not shown) from a GPS satellite to calculate the position of the vehicle control device 2 .
- a plurality of positions calculated by the GPS tuner 15 are put together, which is a locus (hereinafter, referred to as “traveling locus”) along which the vehicle 5 on which the vehicle control device 2 is mounted has traveled.
- the route calculation section 18 calculates the route to the input destination using the map information 13 a stored in the storage section 13 .
- the navigation control section 19 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program. The operation of this program is described below. In addition to the operation of the program described below, the navigation control section 19 transmits the traveling locus of the vehicle to the server 40 every predetermined time.
- the course calculation ECU 20 includes a radar 21 and a camera 22 which monitor circumference, a road-to-vehicle communication unit 23 and a vehicle-to-vehicle communication unit 24 which grasp positions of other vehicles by communication, and a target course generation section 28 which calculates a course (hereinafter, referred to as “target course”) which is a traveling target of a vehicle, and a control section 29 .
- target course a course which is a traveling target of a vehicle
- the target course generation section 28 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program, thereby calculating the target course.
- the target course generation section 28 refers to the position of the vehicle control device 2 calculated by the navigation device 10 and the map information 13 a stored in the navigation device 10 . The operation of this program is described below.
- the target course generation section 28 corrects the target course to avoid obstacles as needed, based on information obtained from the radar 21 and the camera 22 and the positions of other vehicles obtained by the road-to-vehicle communication and the vehicle-to-vehicle communication.
- the control section 29 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program. The operation of this program is described below.
- the vehicle control ECU 30 includes a sensor 31 such as a steering angle sensor and a vehicle speed sensor, an actuator 32 controlling a steering, an accelerator, and a brake, and a vehicle control section 39 .
- the vehicle control section 39 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program. This program outputs an operation command to the actuator 32 so that the vehicle 5 moves along the target course calculated by the course calculation ECU 20 .
- the server 40 includes a server communication section 42 which communicates with the navigation device 10 , a server storage section 43 , and a server control section 49 .
- the server storage section 43 is a nonvolatile memory or a magnetic disk, and the server storage section 43 stores map information 43 a .
- a data structure of the map information 43 a is similar to that of the map information 13 a .
- the map information 43 a is transmitted to the navigation device 10 via the server communication section 42 , and the map information 13 a of the storage section 13 is updated.
- the server control section 49 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program.
- the program generates virtual lane information based on the traveling locus received from the plurality of vehicle control devices 2 and updates the map information 43 a . It should be noted that the map information 43 a may be rewritten from the outside via the server communication section 42 .
- the data structure of the map information 13 a is described. As described above, the map information 43 a also has the same data structure.
- FIGS. 2 and 3 are diagrams showing the data structure of the map information 13 a .
- the map information 13 a includes six hierarchies of first to sixth hierarchies, and elements of a certain hierarchy include elements of a plurality of lower hierarchies.
- a left end shown is a first hierarchy and a right end shown is a sixth hierarchy.
- a sign consisting of “F” and numerals are attached to the respective elements.
- hierarchies under a third hierarchy are different.
- FIG. 2 shows a structure under link information F 23 and
- FIG. 3 shows a structure under node information F 25 .
- the map information 13 a is managed by being divided into a grid-like area called a mesh.
- the mesh is generally separated by constant values of latitude and longitude.
- Each mesh size may be stored as a fixed length or a data size may be stored as variable length.
- each mesh size is stored as the fixed length and the data size is not stored.
- the mesh size is stored as a variable length according to the data size of each mesh, there is a need to store a capacity of each data in the map data. The same goes for the following each data.
- the number of meshes stored in the map information 13 a is stored as the number of meshes F 11 , information on each mesh is stored in mesh information F 12 , and the same number of mesh information F 12 as the meshes is stored as mesh information 1 , mesh information 2 , . . . .
- the mesh information F 12 includes a mesh number F 21 , the number of links F 22 , a plurality of pieces of link information F 23 , the number of nodes F 24 , and a plurality of pieces of node information F 25 .
- the mesh number F 21 stores a number which identifies the mesh.
- the number of links F 22 stores the number of links included in the mesh. The link is described below.
- the individual information on these links is stored in link information F 23 , and the same number of link information F 23 as the link are stored as link information 1 , link information 2 , . . . .
- the number of nodes F 24 stores the number of nodes included in the mesh. The node is described below.
- the individual information on these nodes is stored in the node information F 25 .
- a structure of the node information F 25 is described below with reference to FIG. 3 .
- the node and the link are described with reference to FIG. 4 .
- the node refers to certain points on a road and the link connects the nodes to each other.
- the nodes are mainly set at an intersection, but the node is also provided at a boundary at which the link information such as increase and decrease in the number of lanes is changed.
- the link information is information relating to a road indicated by a line segment in FIG. 4
- the node information is information relating to an intersection indicated by a black circle point in FIG. 4 .
- the description is continued with reference to FIG. 2 again.
- the link information F 23 includes a link ID F 31 in which a unique number is stored, connection node information F 32 in which information relating to the node connected to the link is stored, an XYZ coordinate string F 33 in which a coordinate of interpolation points for indicating starting and ending points and a road shape therebetween, a link type F 34 in which a classification of roads such as highway or a national road is stored, lane information F 35 in which the number of lanes or a type of lane mark line are stored, and additional information F 36 in which a position of a traffic sign and the like are stored.
- the connection node information F 32 includes a node ID (F 51 ) on a starting point side as seen from a direction in which a vehicle can advance and a node ID (F 52 ) on an ending point side as seen from the direction in which the vehicle can advance.
- a node ID on the starting point side is equal to 2000 and a node ID on the ending point side is equal to 1000.
- the XYZ coordinate string F 33 stores the information relating to the coordinates for indicating the starting and ending points of the link and the road shape therebetween, and includes the number of coordinate points F 53 in which the points of the coordinate points are stored and a plurality of coordinates F 54 in which specific XYZ coordinates, that is, longitude, latitude, and altitude from a reference point are stored.
- the link type F 34 includes a road type F 55 representing the classification of roads such as highways or a national roads and a road width F 56 .
- the classification may include a ramp road indicating an entrance or an exit of highway and a roundabout indicating a rotary-like road.
- the lane information F 35 includes the number of lanes F 57 and a plurality of lane information F 58 in which the information on the lane is stored.
- the additional information F 36 includes sign information F 59 in which information relating to a sign is stored and destination signboard information F 60 in which information relating to a destination signboard having information equivalent to the sign is stored.
- the lane information F 58 includes a lane attribute F 71 in which information indicating a lane attribute is stored and a plurality of shape points F 72 in which coordinates indicating a shape of a central line of a lane are stored.
- the sign information F 59 includes a sign type F 73 in which a classification of a no stopping/parking area, a speed sign or the like is stored, a sign position F 74 in which a position of a sign is stored, and sign contents F 75 in which contents described in a sign are stored.
- the lane attribute F 71 includes an uphill lane flag F 91 in which information on whether a lane is an uphill lane is stored, a lane change propriety F 92 in which information on whether a lane can be changed to left and right lanes is stored, a virtual flag F 93 in which information on whether a lane is a real lane or a virtual lane is stored, an entry propriety F 94 in which information on whether a passenger car can be traveled is stored, a connection source link ID (F 95 ) which is a rear side link as viewed from an advancing direction among the links to which the lane is connected, and a connection destination link ID (F 96 ) which is a front side link as viewed from the advancing direction among the links connected to the which the lane is connected.
- F 95 connection source link ID
- F 96 connection destination link ID
- the structure of the node information F 25 belonging to the third hierarchy is described with reference to FIG. 3 .
- the node information F 25 includes a node ID F 37 which is a unique number, target point information F 38 in which information on a target point used as a target position at the time of a course generation when there is no virtual lane is stored, signal information F 39 in which information on a traffic light existing within the intersection is stored, intra-intersection lane information F 40 in which lane information within the intersection is stored, connection link information F 41 in which information on a link connected to the node is stored, and an intersection size F 200 indicating a size of a radius of the intersection.
- the target point information F 38 is information used when the virtual lane is not set and a course is generated toward the coordinates indicated by this information.
- the target point information F 38 includes the number of target points F 61 in which a total number of target points are stored, and a plurality of targets F 62 in which information on the target point is stored.
- the signal information F 39 includes the number of signals F 63 in which the total number of signals is stored and a plurality of signals F 64 in which information relating to the signals is stored.
- the configuration of the intra-intersection lane information F 40 is similar to that of the lane information F 35 . That is, a structure of lane information F 66 configuring the intra-intersection lane information F 40 is the same as that of the lane information F 58 , and a configuration of a lane attribute F 81 is the same as that of the lane attribute F 71 .
- the connection link information F 41 includes the number of connection links F 67 in which the total number of links connected to the node is stored and a plurality of connection link IDs (F 78 ) in which the link ID of the link to be connected is stored.
- the number of connection links F 67 stores “4”
- the target F 62 includes an attribute F 76 in which information indicating what lane of the lanes is stored, an XY coordinate F 77 in which latitude and longitude are stored, a corresponding link ID F 78 in which a link ID corresponding to the target point is stored.
- the signal F 64 includes a signal type F 79 in which information relating to the type of the signal such as whether it is a suspension type or installed in a pole is stored and a coordinate F 80 in which information relating to the latitude, longitude and altitude of the signal is stored.
- the configuration of the lane information F 66 is the same as that of the lane information F 58 as described above.
- the virtual lane information is indicated in the map information 13 a by the lane information F 58 of the lane information F 35 , in which a virtual flag F 93 indicates a virtual lane, and the lane information F 66 of the intra-intersection lane information F 40 , in which a lower flag F 99 indicates the virtual lane.
- the operation of the vehicle control device 2 is described with reference to FIGS. 5 to 10 .
- FIG. 5 is a flow chart showing an operation of main processing executed by the control section 29 of the course calculation ECU 20 .
- An execution entity of each step described below is the CPU of the control section 29 .
- the present processing starts once, for example, every 50 ms.
- step S 101 it is determined whether there is a request for an automatic operation by an operation of the switch 12 by a driver. If it is determined that there is the request for the automatic operation, the process proceeds to step S 102 , and if it is determined that there is no request for the automatic operation, the process proceeds to step S 109 .
- step S 102 the navigation device 10 performs the processing of grasping the current position of the own vehicle shown in detail in FIG. 6 , and if a processing result is received, the process proceeds to step S 103 .
- step S 103 the processing of grasping the current positions of other vehicles shown in detail in FIG. 7 is performed, and then the process proceeds to step S 104 .
- step S 104 it is determined whether the route to the destination is set, and if it is determined that the route to the destination is set, the process proceeds to step S 105 and if it is determined that the route to the destination is not set, the process proceeds to step S 106 .
- step S 105 the navigation device 10 performs the route calculation shown in detail in FIG. 8 , and if the processing result is received, the process proceeds to step S 106 .
- step S 106 the processing of determining the target course shown in detail in FIG. 9 is performed, and then the process proceeds to step S 107 .
- step S 107 an operation command is output to the vehicle control ECU 30 so that the vehicle travels along the target course determined in step S 106 , and the process proceeds to step S 108 .
- step S 108 behavior of the vehicle is notified to the driver using the display 11 or the speaker 17 in order to give a sense of security to the driver, and the operation of the program shown in FIG. 5 ends.
- step S 109 executed when the negative determination is made in step S 101 , virtual lane correction processing shown in detail in FIG. 10 is performed, and the operation of the program shown in FIG. 5 ends.
- FIG. 6 is a flow chart showing the processing operation of grasping the current position of the own vehicle executed by the navigation device 10 based on the operation command from the course calculation ECU 20 .
- An execution entity of each step described below is the CPU of the navigation control section 19 .
- step S 131 the current position or azimuth information of the vehicle is read from the GPS tuner 15 , and the process proceeds to step S 132 .
- step S 132 the current position read in step S 131 is supplemented based on the information on the gyroscope 16 and the vehicle speed sensor which is the sensor 31 connected to the vehicle control ECU 30 .
- the latitude, longitude and azimuth of the own vehicle are calculated based on an angular velocity in a yaw direction of the vehicle obtained from the gyroscope 16 or a travel distance and an azimuth change amount obtained from the vehicle speed sensor.
- step S 133 the process proceeds to step S 133 .
- step S 133 the information on the road in the vicinity of the position of the own vehicle within the map data is read out.
- step S 134 the position on the road is specified most reliably based on the current position and the azimuth among the roads which are read out, and a link number of the road is stored.
- step S 135 the process proceeds to step S 135 .
- step S 135 an image photographed by the camera 22 is processed, and a result of recognizing whether the mark line on both sides of the lane on which the own vehicle is traveling is a solid line or a broken line is obtained via the course calculation ECU 20 .
- step S 136 the information on the current position, the azimuth, and the mark line is compared with the map information 13 a to specify the lane on which the vehicle is traveling and transmit the specified lane to the course calculation ECU 20 .
- the lane may be specified by using the information on the mark line existing around the neighboring lanes or the like.
- FIG. 7 is a flow chart showing the processing operation of grasping the current positions of other vehicles described with reference to FIG. 5 .
- the execution entity of each step described below is the CPU of the control section 29 .
- step S 141 the map data in the vicinity of the current position included in the map information 13 a is read out from the navigation device 10 , and the process proceeds to step S 142 .
- step S 142 the distance and angle with respect to other vehicles are calculated based on the information obtained from the radar 21 , and the distance and angle with respect to other vehicles are calculated by analyzing a photographed image obtained from the camera 22 . Consistency between the information obtained from the radar 21 and the information obtained from the camera 22 is confirmed, and a relative position with respect to other vehicles existing around the own vehicle is grasped. Next, the process proceeds to step S 143 .
- step S 143 it is grasped on which lane other vehicles are traveling based on the information obtained in step S 143 and the shape of the lane included in the map information 13 a .
- a speed of other vehicles is also obtained using the Doppler effect of the radar 21 .
- relative speeds of other vehicles may be obtained based on an elapsed time and a distance difference.
- FIG. 8 is a flow chart showing the processing operation of the route calculation executed by the navigation device 10 based on the operation command from the course calculation ECU 20 .
- the execution entity of each step described below is the CPU of the navigation control section 19 .
- step S 151 the current position is read from the GPS tuner 15 , and the destination that the driver sets using the switch 12 is read.
- step S 152 the map information 13 a necessary for the route calculation is read, and the process proceeds to step S 153 .
- step S 153 the route from the current position read in step S 151 to the destination set by the driver, that is, the selection and permutation of the link is calculated.
- the route where the distance from the current position to the destination is shortest or the required time is least is calculated using an algorithm which calculates an optimum route for a network such as the Dijkstra method.
- the calculation results are obtained as ones arranged in the traveling order of the links to be continued from the current position to the destination.
- the calculated route is transmitted to the course calculation ECU 20 .
- the course calculation ECU 20 stores the received route information in the RAM of the control section 29 .
- FIG. 9 is a flow chart showing details of step S 106 of FIG. 5 . By the processing in this flow chart, the target locus along which the vehicle travels is determined.
- step S 111 the route is read out from the RAM.
- the route stored in the RAM is shown in, for example, FIG. 11 .
- FIG. 11 is a diagram showing an example of the calculation result of the route. As described above, the routes are arranged in the traveling order of the link IDs of the traveling links. Next, the process proceeds to step S 112 .
- step S 112 the image photographed by the camera 22 is analyzed and it is determined whether only a real lane exists on a forward road within the predetermined distance from the current traveling place. If it is determined that the real lane exists and the virtual lane does not exist, the process proceeds to step S 118 , and if it is determined that at least the virtual lane exists or neither the real lane nor the virtual lane exists, the process proceeds to step S 113 . It should be noted that the determination in step S 112 may be made based on the link information and the node information corresponding to the route ahead of the current position of the own vehicle specified by the navigation device 10 in step S 102 among the map information 13 a without using the analysis result of the image photographed by the camera 22 .
- step S 113 it is determined whether the virtual lane exists on the forward road within the predetermined distance from the current traveling place based on the link information and the node information corresponding to the route ahead of the current position of the own vehicle specified by the navigation device 10 in step S 102 . If it is determined that the virtual lane exists, the process proceeds to step S 114 , and if it is determined that the virtual lane does not exist, the process proceeds to step S 116 .
- step S 114 the virtual lane is appropriately selected with reference to the route information, and in the following step S 115 , the target course along the virtual lane is determined. Next, the process proceeds to step S 120 .
- step S 116 executed when it is determined that there is no virtual lane, the target point which is the starting point of the next traveling link is selected, and in the following step S 117 , the target course along which the vehicle goes straight from the current position toward the target point is determined.
- step S 120 the process proceeds to step S 120 .
- step S 118 executed when it is determined that there is the real lane and there is no virtual lane, the target course along the real lane is determined, and the process proceeds to step S 120 .
- step S 120 it is determined whether the target starting determined in step S 115 , S 117 or S 118 is the target course requiring the lane change immediately, and if it is determined that the lane change is required, the process proceeds to step S 121 and if it is determined that the lane change is not required, the process proceeds to step S 123 .
- step S 121 it is determined whether there is a collision possibility of the own vehicle with other vehicles when the own vehicle performs the lane change according to the target course, based on the position and speed of the own vehicle obtained in step S 102 of FIG. 5 and the positions and speeds of other vehicles obtained in step S 103 . If the collision possibility is equal to or more than a predetermined value, the process proceeds to step S 122 , and if the collision possibility is less than the predetermined value, the process proceeds to step S 123 .
- step S 122 the change to the target course without the lane change is performed, or the change to the target course such as the lane change after a vehicle travels a predetermined distance, and the process returns to step S 120 .
- step S 123 it is determined whether a distance from other vehicles existing ahead of the vehicle to the own vehicle is equal to or less than a predetermined value. If it is determined that the distance is larger than the predetermined value, the operation of the program shown in FIG. 9 ends, and if it is determined that the distance is smaller than the predetermined value, the process proceeds to step S 124 . However, in this step, the relative speed between other vehicles and the own vehicle in addition to the distance from other vehicles to the own vehicle may be considered.
- step S 124 a deceleration command is output to the vehicle control ECU 30 to perform a deceleration, and the process returns to step S 123 .
- FIG. 10 is a flow chart showing step S 109 in FIG. 5 in detail.
- the map information 13 a is updated by the processing in this flow chart. As described above, this step is executed when there is no request for an automatic operation, that is, when the driver himself/herself drives a vehicle.
- step S 161 it is determined whether the traveling locus along which the driver himself/herself drives a vehicle follows the virtual lane. If it is determined that the traveling locus follows the virtual lane, since it is not necessary to correct the map information 13 a , the operation of the program shown in FIG. 10 ends. If it is determined that the traveling locus does not follow the virtual lane, the process proceeds to step S 162 .
- step S 162 the difference between the traveling locus and the virtual lane is recorded, and the process proceeds to step S 163 .
- step S 163 it is determined whether the number of times that the vehicle does not travel along the virtual lane at that location is equal to or more than a predetermined number of times. If it is determined that the number of times is equal to or more than the predetermined number of times, the process proceeds to step S 164 , and if it is determined that the number of times is less than the predetermined number of times, the operation of the program instructing the execution of the operations shown in FIG. 10 ends.
- step S 164 the average value of the difference between the traveling locus and the virtual lane is calculated, the virtual lane corrected based on the average value is recorded in the map information 13 a as a new virtual lane, that is, the map information 13 a is updated.
- the average value of the traveling locus may be considered as a new virtual lane. In this way, the operation of the program instructing the execution of the operations shown in FIG. 10 ends.
- steps S 112 to S 118 of FIG. 9 is described with reference to FIGS. 2 to 4 and FIG. 11 .
- the calculation result of the route shown in FIG. 11 is stored in an RAM
- the map information 13 a corresponding to circumference of the vehicle 5 on which the vehicle control device 2 is mounted is shown in FIG. 4
- the link information F 23 having the link number is read out from the map information 13 a , and the node ID on the ending point side within the link information is obtained.
- the node ID on the ending point side is 1000. It should be noted that this processing corresponds to a process of searching for a next intersection that a vehicle travels.
- the information on the node ID is obtained from the node information F 25 , and it is determined whether there is the target F 62 or the lane information F 66 in which the virtual flag F 93 is ON (step S 112 ). If there is not such lane information F 66 , the target course along the real lane is determined (step S 118 ).
- FIG. 12 is a diagram showing an example in which a plurality of virtual lanes exist.
- the target course generation section 28 selects the virtual lane as follows, for example ( FIG. 9 , step S 114 ). In other words, the target course generation section 28 determines which one of the two virtual lanes the vehicle travels according to the number or positions of vehicles recognized using the camera 22 or the radar 21 .
- FIG. 14 shows an example in which the virtual lane is broken at an annular intersection.
- the vehicle control system 1 includes the vehicle control device 2 mounted on the vehicle 5 and the server 40 connected to the vehicle control device 2 via a network.
- the server 40 includes the virtual lane generation section (i.e., the server control section 49 ) which generates the map information 43 a including the virtual lane information relating to the virtual lane virtually set on the road at least based on the traveling loci of other vehicles other than the vehicle 5 and the server communication section 42 that transmits the map information 43 a including the virtual lane information generated by the virtual lane generation section to the vehicle control device 2 .
- the vehicle control device 2 includes the vehicle communication section 14 which receives the map information 43 a including the virtual lane information from the server 40 , the target course generation section 28 which generates the target course of the vehicle 5 based on the virtual lane information, and the vehicle control section 39 which causes the vehicle 5 to move along the target course generated by the target course generation section 28 .
- the vehicle control system 1 is configured in this way, it is possible to obtain a target locus similar to those of other vehicles. Even if a lane boundary line is drawn, a vehicle generally moves without moving along the lane boundary line at a specific node or link. Therefore, a vehicle can avoid a collision by moving along the target locus which is the virtual lane similar to those of other vehicles.
- the vehicle control device 2 includes the storage section 13 which stores the map information 13 a including the node indicating the predetermined point and the link connecting between the points.
- the target course generation section 28 generates the target course corresponding to the virtual lane having the intersecting point of the first link with the intersection as the starting point and the linear target course connecting the endpoint of the virtual lane to the second link, when generating the target course at the intersection at which the first link and the second link are connected to the first node and corresponding to the first node from the first link to the second link.
- the vehicle control device 2 can generate the target course even when the virtual lane information does not reach the next node, and can cause the vehicle control section 39 to move the vehicle 5 along the target course.
- the server control section 49 of the server 40 may generate virtual lane information by setting a virtual lane, particularly, on a tollgate exit of highway or a rotary, based on the traveling locus received from the vehicle control device 2 .
- FIG. 15 is a diagram showing an example of generating the virtual lane at the tollgate exit of highway.
- the vehicle enters a tollgate at the center of FIG. 15 from the bottom of FIG. 15 and travels upward in FIG. 15 .
- the server control section 49 generates a virtual lane indicated by a one-dot chain line in FIG. 15 based on the traveling locus received from the vehicle control device 2 .
- the server control section 49 may grasp a position of a tollgate based on data indicating that the tollgate is a tollgate included in the map information 43 a , estimate the position of the tollgate based on a pattern of a road shape included in the map information 43 a , or estimate the position of the tollgate based on the traveling locus received from the vehicle control device 2 . Further, this virtual lane may extend upward in FIG. 15 . By setting the target course along this virtual lane, the vehicle can be prevented from approaching to other vehicles immediately after passing through a tollgate.
- FIG. 16 is a diagram showing an example of generating a virtual lane at a rotary.
- the hatched portion on the left end in FIG. 16 shows a dedicated bus lane and therefore traveling of a general vehicle is not permitted.
- the server control section 49 generates three virtual lanes indicated by a one-dot chain line in FIG. 16 based on the traveling locus received from the vehicle control device 2 , and then estimates that traveling is not permitted since there is no vehicle traveling on the lane of the left end in FIG. 16 and stores information on the fact that a vehicle cannot be traveled according to whether the intrusion of the lane is permitted F 102 .
- it is desirable to keep the virtual lane information when considering that it is necessary to travel on a dedicated bus lane when an emergency such as when two lanes on which a vehicle normally travels are blocked by an accident occurs.
- the server 40 generates the virtual lane information relating to the virtual lane set on the exit of the tollgate of highway.
- the vehicle 5 equipped with the vehicle control device 2 can be prevented from approaching to other vehicles immediately after passing through the tollgate.
- the server control section 49 of the server 40 may generate the virtual lane information at a position where the lane boundary line is not drawn on the road. In this way, at a position where it is difficult to originally predict behaviors of other vehicles since there is no lane boundary line, it is possible to avoid a collision with other vehicles since it is possible to predict that other vehicles also move along the virtual lane. In addition, if the virtual lane information is not generated at the position where the lane boundary line is drawn on the road, it is possible to avoid the overlap between the real lane and the virtual lane.
- the vehicle control device 2 receives the map information 43 a from the server 40 via the communication section 14 , and stores the received the map information 43 a as the map information 13 a in the storage section 13 .
- a method of acquiring the map information 13 a is not limited thereto.
- the map information 13 a may be stored in the storage section 13 in advance or the vehicle control device 2 may read the map information 13 a from the recording medium into the storage section 13 using a recording medium reading device (not shown).
- the vehicle control device 2 is mounted on the vehicle 5 .
- the vehicle control device 2 includes the storage section 13 which stores the map information 13 a including the virtual lane information relating to the virtual lane virtually set on the road at least based on traveling loci of other vehicles other than the vehicle 5 , the target course generation section 28 which generates the target course of the vehicle 5 based on the virtual lane information stored in the storage section 13 , and the vehicle control section 39 which causes the vehicle 5 to move along the target course generated by the target course generation section 28 .
- the vehicle control device 2 can obtain the target locus similar to those of other vehicles without communicating with the server 40 .
- a second embodiment of a vehicle control system and a vehicle control device is described with reference to FIGS. 17 to 19 .
- the same reference numerals are given to the same components as those in the first embodiment, and the difference from the first embodiment is mainly described.
- the points which are not particularly described are the same as those of the first embodiment.
- the second embodiment is different from the first embodiment mainly in that the server generates the information on the virtual lane based on accident information.
- the configurations of the vehicle control system 1 and the server 40 are similar to those of the first embodiment. However, the operation of the program stored in the control section 29 of the course calculation ECU 20 is different from that of the first embodiment.
- the server 40 communicates with an on-road abnormality notification server (not shown) and immediately receives a notification of an occurrence location of abnormality as soon as the abnormality occurs on the road such as a traffic accident, etc. If the server 40 receives the notification of the occurrence of the abnormality, the virtual lane is set based on the traveling locus of the vehicle traveling in the vicinity of the occurrence location of the abnormality after the time to generate the virtual lane information.
- FIG. 17 is a flow chart showing the operation of the main processing executed by the control section 29 of the course calculation ECU 20 in the second embodiment.
- the processing similar to that in the first embodiment is denoted by the same step numbers, and the description thereof is omitted.
- steps S 102 and S 103 are executed and the current positions of the own vehicle and other vehicles are grasped. Next, the process proceeds to step S 171 .
- step S 171 the current position of the own vehicle acquired in step S 102 is transmitted to the server 40 , and a reply from the server 40 is received.
- the server 40 transmits a reply indicating that there is the information on the virtual lane when there is the information on the virtual lane in the vicinity of the current position of the vehicle, and transmits a reply indicating that there is no information on the virtual lane when there is no information on the virtual lane in the vicinity of the current position of the vehicle.
- step S 172 the process proceeds to step S 172 .
- step S 172 it is determined whether a reply indicating that there is the information on the virtual lane is received from the server 40 . If it is determined that the reply indicating that there is the information on the virtual lane is received, the process proceeds to step S 173 , and if it is determined that the reply indicating that there is the information on the virtual lane is not received, the operation of the program shown in FIG. 17 ends.
- step S 173 the processing of determining the target course shown in detail in FIG. 18 is performed, and then the process proceeds to step S 107 .
- step S 107 The operations after step S 107 are similar to those in the first embodiment, and therefore the description thereof is omitted.
- FIG. 18 is a flow chart showing step S 173 in FIG. 17 in detail. By the processing in this flow chart, the target locus along which the vehicle travels is determined.
- step S 181 the map information 43 a including the information on the virtual lane is received from the server 40 , the map information 13 a stored in the storage section 13 is updated using the map information 43 a , and the process proceeds to step S 182 .
- step S 182 the optimum virtual lane is selected from the map information 13 a , and in the following step S 183 , the target course along the virtual lane selected in step S 182 is determined, and the process returns to FIG. 17 .
- FIG. 19 is a diagram showing an example of a virtual lane when an obstacle appears on a road.
- the on-road abnormality notification server notifies the server 40 that an obstacle OB occurs on the road. Since vehicles traveling on a road are traveled while avoiding the obstacle OB by the driver's own operation, the traveling locus avoiding the obstacle OB is transmitted from the vehicle control device 2 mounted on these vehicles to the server 40 . The server 40 generates the virtual lane information based on the traveling locus of the vehicle traveling in the vicinity of the occurrence location of the obstacle OB after receiving the notification.
- step S 171 in FIG. 17 the reply indicating that there is the information on the virtual lane (step S 172 : YES) is received from the server 40 . Therefore, the vehicle control device 2 generates the target course to avoid the obstacle OB based on the virtual lane information.
- the server 40 includes the server storage section 43 which stores the map information 43 a including a node indicating a predetermined point and a link connecting between points.
- the virtual lane generation section that is, the server control section 49 specifies the node or the link at which the accident occurs when receiving the information on the accident from the on-road abnormality notification server, and generates the virtual lane information based on the traveling locus of the vehicle traveling on the node or the link.
- the vehicle control device 2 that has received the new map information 43 a from the server control section 49 can keep up with the flow of the vehicle changed due to the occurrence of the accident.
- the server control section 49 may set different virtual lanes by time zone.
- FIG. 20 is a diagram showing an example in which the virtual lane is set on a wide road on which a lane boundary line is not drawn.
- a road on an upper part in FIG. 20 is a one way road going upward, and the lane boundary line is not drawn.
- FIG. 21 is a diagram showing the traveling situation of the vehicle by time zone on the road on the upper part in FIG. 20 .
- the server control section 49 which has received the traveling locus from the vehicle control device 2 of these vehicles sets virtual lanes by time zone as shown in FIG. 21 .
- the server control section 49 may transmit the map information 43 a , to which the information on the time zone is added, to the vehicle control device 2 , and transmit the map information 43 a including the virtual lane information corresponding to the changed traffic volume to the vehicle control device 2 at the time when the traffic volume is changed.
- a third embodiment of a vehicle control system and a vehicle control device is described with reference to FIGS. 22 to 25 .
- the same reference numerals are given to the same components as those in the first embodiment, and the difference from the first embodiment is mainly described.
- the points which are not particularly described are the same as those of the first embodiment.
- the third embodiment is different from the first embodiment in that the vehicle control device partly generates the virtual lane information within the intersection, while in the first embodiment, all the virtual lane information is generated by the server.
- the configurations of the vehicle control system 1 and the server 40 are similar to those of the first embodiment. However, the operation of the program stored in the control section 29 of the course calculation ECU 20 is different from that of the first embodiment.
- the server control section 49 of the server 40 performs processing to be described below to generate virtual lane information.
- FIG. 22 is a flowchart showing the operation of the main processing executed by the control section 29 of the course calculation ECU 20 in the third embodiment.
- the processing similar to that in the first embodiment is denoted by the same step numbers, and the description thereof is omitted.
- the difference from FIG. 5 in the first embodiment is only the processing in the case where the negative determination is made in step S 101 .
- step S 101 it is determined whether there is a request for an automatic operation by operation of the switch 12 by a driver. If it is determined that there is the request for the automatic operation, the process proceeds to step S 102 , and if it is determined that there is no request for the automatic operation, the process proceeds to step S 300 .
- step S 102 The operations after step S 102 are similar to those in the first embodiment, and therefore the description thereof is omitted.
- step S 300 traveling locus transmission processing shown in detail in FIG. 23 is performed, and thereafter the operation of the program shown in FIG. 22 ends.
- FIG. 23 is a flow chart showing the traveling locus transmission processing in step S 300 of FIG. 22 in detail.
- step S 190 the same processing as in step S 102 is performed and the acquired current position is stored in the RAM of the control section 29 . Then, the link ID corresponding to the current position is acquired with reference to the map information 13 a , and is similarly stored in the RAM of the control section 29 . Next, the process proceeds to step S 191 .
- step S 191 when the previous step S 190 is executed, the current position stored in the RAM is read and it is determined whether the position is inside or outside the intersection. It can be determined whether a certain position is within the intersection, for example, using the map information 13 a as follows. First, the nearest node from the current position is specified and the intersection size F 200 of the node is acquired. It is determined that the current position is within the intersection if the current position is less than the intersection size F 200 from the node, and it is determined that the current position is outside the intersection if the current position is equal to or more than the intersection size F 200 from the node. If it is determined that the previously acquired current position is outside the intersection, the process proceeds to step S 192 , and if it is determined that the previously acquired current position is within the intersection, the process proceeds to step S 196 .
- step S 192 it is determined whether the current position acquired in the present step S 190 is inside or outside the intersection. If it is determined that the currently acquired current position is outside the intersection, the subroutine representing the operations in FIG. 23 ends, and if it is determined that the currently acquired current position is inside the intersection, the process proceeds to step S 193 .
- step S 193 it is determined that the vehicle has entered the intersection, and the link ID stored when the previous step S 190 is executed is again stored in the RAM of the control section 29 as a transmission starting point link ID. Next, the process proceeds to step S 194 .
- step S 194 it is determined whether the vehicle has traveled 5 m or more since the previous position was recorded, and if it is determined that the vehicle has traveled 5 m or more, the process proceeds to step S 195 , and if it is determined that the vehicle has not traveled 5 m or more, the operations in the subroutine shown in FIG. 23 ends.
- step S 195 the current position obtained in the current step S 190 is again stored in the RAM of the control section 29 as the transmission traveling locus, and the operations in the subroutine shown in FIG. 23 ends.
- step S 196 executed when the current position is inside the intersection in step S 191 , it is determined whether the current position acquired in the present step S 190 is inside or outside the intersection. If it is determined that the currently acquired current position is outside the intersection, the process proceeds to step S 197 , and if it is determined that the current position is within the intersection, the process proceeds to step S 200 .
- step S 197 it is determined that the current position is outside the intersection, and the link ID stored when the present step S 190 is executed is again stored in the RAM of the control section 29 as a transmission ending point link ID.
- step S 198 the process proceeds to step S 198 .
- step S 198 the transmission starting point link ID, one or a plurality of transmission traveling loci, and the transmission ending point link ID which are stored in the RAM of the control section 29 are transmitted to the server 40 , and the process proceeds to step S 199 .
- step S 199 the buffer storing the position information is cleared, that is, the transmission starting point link ID, the transmission traveling locus and the transmission ending point link ID are deleted from the RAM of the control section 29 , and the subroutine representing the operations in FIG. 23 ends.
- step S 200 executed when the current position is inside the intersection in step S 196 , it is determined whether the vehicle has traveled 5 m or more since the previous position was recorded, if it is determined that the vehicle has traveled 5 m or more, the process proceeds to step S 201 , and if it is determined that the vehicle has not traveled 5 m or more, the subroutine representing the operations in FIG. 23 ends.
- step S 201 the current position acquired in the present step S 190 is again stored in the RAM of the control section 29 as the transmission traveling locus.
- the transmission traveling locus is already stored in the RAM of the control section 29 , it is stored as the additional transmission traveling locus.
- the current position is stored every time the vehicle has traveled a certain distance within the intersection.
- FIG. 24 is a flow chart showing the operation of the program executed in the server 40 if the transmission of the information is received from the vehicle control device 2 in step S 198 of FIG. 23 .
- the execution entity of each step described below is the CPU of the server control section 49 .
- step S 210 the information received from the vehicle control device 2 is read out from the server communication section 42 , and the process proceeds to step S 211 .
- step S 211 it is determined whether there is a combination of the same link IDs as the currently received data among the data accumulated so far.
- the combination of the link IDs means the combination of the link IDs in which the transmission starting point link ID matches the transmission ending point link ID. If it is determined that there is the matched data, the process proceeds to step S 212 , and if it is determined that there is no matched data, the process proceeds to step S 214 .
- step S 212 the existing transmission traveling locus and a newly received transmission traveling locus is averaged.
- the averaging means that how many received data the accumulated data is averaged is stored and a weighted average is performed with the currently received transmission traveling locus. Since it is only necessary to calculate the average of the coordinate values in order from the first point of the traveling locus by fixing the position of the starting point of the received transmission traveling locus and keeping the interval of the traveling locus constant, the processing can be simplified. Next, the process proceeds to step S 213 .
- step S 213 the traveling loci averaged by the processing of step S 212 are connected to each other to be represented by a line segment, a predetermined road width is given thereto, and are stored in the map information 43 a as the virtual lane information together with the transmission starting point link ID and the transmission ending point link ID. In this way, the operation of the program shown in FIG. 24 ends.
- step S 214 the received traveling loci are connected to each other to be represented by a line segment, a predetermined road width is given thereto, and are stored in the map information 43 a as the virtual lane information together with the transmission starting point link ID and the transmission ending point link ID. In this way, the operation of the program shown in FIG. 24 ends.
- FIG. 25 is a diagram showing an example of a transmission traveling locus transmitted from the vehicle control device 2 to the server 40 .
- the vehicle equipped with the vehicle control device 2 had the traveling locus of P 1 to P 7 within the intersection.
- the server control section 49 calculates the average value of each coordinate of the transmission traveling loci S 1 to S 7 and the transmission traveling loci P 1 to P 7 when, for example, the accumulated transmission traveling loci S 1 to S 7 are generated from data received once.
- the server control section 49 calculates the weighted average of the transmission traveling loci S 1 to S 7 and the transmission traveling loci P 1 to P 7 , that is, a value internally dividing each coordinate into 1:2.
- the vehicle control device 2 includes the storage section 13 which stores the map information 13 a including the node indicating the predetermined point and the link connecting between the points, and the navigation control section 19 which transmits the information relating to the course along which the vehicle has traveled to the server 40 via the vehicle communication section when the vehicle 5 has traveled at the intersection corresponding to the node.
- the link included in the map information 13 a is associated with an identifiable code, that is, the link ID, and the navigation control section 19 transmits the link IDs each associated with the links corresponding to the roads as the information for identifying the road on which the vehicle 5 has traveled just before and after the intersection together with the information relating to the locus along which the vehicle 5 has traveled to server 40 .
- the server control section 49 can easily generate the virtual lane information relating to the virtual lane connecting the first link to the second link by using the information received from the vehicle control device 2 .
- the server 40 performs averaging of the existing transmission traveling locus and a newly received transmission traveling locus (step S 212 ).
- a new virtual lane may be generated using the received transmission traveling locus without performing the averaging processing on the existing transmission traveling locus.
- the virtual lane may be generated using only the received transmission traveling locus within the predetermined distance. In this case, as shown in FIG. 14 , the virtual lane which does not arrive to the starting point of the link having the transmission ending point link ID is generated.
- a fourth embodiment of a vehicle control device is described with reference to FIG. 27 .
- the same reference numerals are given to the same components as those in the third embodiment, and the difference from the third embodiment is mainly described.
- the matters which are not particularly described are the same as those of the third embodiment.
- the fourth embodiment is different from the third embodiment mainly in that the vehicle control device generates the virtual lane information.
- FIG. 27 is a block diagram showing a configuration of a vehicle control device 2 a according to the fourth embodiment.
- the configuration of the vehicle control device 2 a includes a map information generation section 28 a in addition to the configuration of the first embodiment.
- the navigation control section 19 transmits the traveling locus of the vehicle to other vehicles via at least one of the communication section 14 , the road-to-vehicle communication unit 23 , and the vehicle-to-vehicle communication unit 24 .
- the traveling locus of the vehicle may be temporarily stored in other devices and then transmitted from other vehicles.
- the map information generation section 28 a receives the traveling loci of other vehicles via at least one of the communication section 14 , the road-to-vehicle communication unit 23 , and the vehicle-to-vehicle communication unit 24 , and performs the processing similar to that of the server control section in the second embodiment or the third embodiment to generate the map information 13 a.
- the map information generation section 28 a may transmit the whole or a part of the generated map information 13 a to other vehicles via at least one of the communication section 14 , the road-to-vehicle communication unit 23 , and the vehicle-to-vehicle communication unit 24 .
- the vehicle control device 2 a includes at least one of the vehicle communication section which receives the traveling loci of other vehicles, that is, the communication section 14 , the road-to-vehicle communication unit 23 , and the vehicle-to-vehicle communication unit 24 , the virtual lane generation section (i.e., map information generation section 38 a ) which generates the virtual lane information relating to the virtual lane virtually set on the road based on the traveling loci of other vehicles received by the vehicle communication section, the target course generation section 28 which generates the target course of the vehicle based on the virtual lane information, and the vehicle control section 39 which causes the vehicle to move along the target course generated by the target course generation section 28 .
- the virtual lane generation section i.e., map information generation section 38 a
- the target course generation section 28 which generates the target course of the vehicle based on the virtual lane information
- the vehicle control section 39 which causes the vehicle to move along the target course generated by the target course generation section 28 .
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Databases & Information Systems (AREA)
- Mathematical Physics (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Abstract
Description
- The present invention relates to a vehicle control system and a vehicle control device.
- PTL 1 discloses an invention for detecting a white line on a road and causing a vehicle to automatically travel along the white line.
- PTL 1: JP 2014-136480 A
- In the invention disclosed in
PTL 1, it is not possible to acquire a target locus of traveling similar to those of other vehicles. - According to a first aspect of the present invention, in a vehicle control system including a vehicle control device mounted on a vehicle and a server connected to the vehicle control device via a network, the server includes a virtual lane generation section which generates virtual lane information relating to a virtual lane virtually set on a road at least based on traveling loci of other vehicles other than the vehicle, and a server communication section which transmits the virtual lane information generated by the virtual lane generation section to the vehicle control device, and the vehicle control device includes a vehicle communication section which receives the virtual lane information from the server, a target course generation section which generates a target course of the vehicle based on the virtual lane information, and a vehicle control section which causes the vehicle to move along the target course generated by the target course generation section.
- According to a second aspect of the present invention, a vehicle control device mounted on a vehicle includes: a vehicle communication section which receives virtual lane information relating to a virtual lane virtually set on a road; a target course generation section which generates a target course of the vehicle based on the virtual lane information received by the vehicle communication section; and a vehicle control section which causes the vehicle to move along the target course generated by the target course generation section.
- According to a third aspect of the present invention, a vehicle control device mounted on a vehicle includes: a storage section which stores virtual lane information relating to a virtual lane virtually set on a road at least based on traveling loci of other vehicles other than the vehicle; a target course generation section which generates a target course of the vehicle based on the virtual lane information stored in the storage section; and a vehicle control section which causes the vehicle to move along the target course generated by the target course generation section.
- According to the present invention, it is possible to acquire a target locus similar to that of other vehicles.
-
FIG. 1 is a block diagram showing a configuration of avehicle control system 1. -
FIG. 2 is a diagram showing a data structure ofmap information 13 a. -
FIG. 3 is a diagram showing the data structure of themap information 13 a. -
FIG. 4 is a diagram explaining a node and a link. -
FIG. 5 is a flow chart illustrating an operation of main processing. -
FIG. 6 is a flow chart showing a processing operation of grasping a current position of an own vehicle. -
FIG. 7 is a flow chart showing a processing operation of grasping current positions of other vehicles. -
FIG. 8 is a flow chart showing a processing operation of route calculation. -
FIG. 9 is a flow chart showing processing of determining a target locus. -
FIG. 10 is a flow chart showing a processing operation of a virtual map correction. -
FIG. 11 is a diagram showing an example of a calculation result of a route. -
FIG. 12 is a diagram showing an example in which a plurality of virtual lanes are present. -
FIG. 13 is a diagram showing an example in which the plurality of virtual lanes are present at an annular intersection. -
FIG. 14 is a diagram showing an example in which the virtual lane is broken at the annular intersection. -
FIG. 15 is a diagram showing a generation example of the virtual lane at a tollgate exit of highway. -
FIG. 16 is a diagram showing a generation example ofmap information 43 a at a rotary. -
FIG. 17 is a flow chart showing an operation of main processing according to a second embodiment. -
FIG. 18 is a flow chart showing processing of determining a target locus according to the second embodiment. -
FIG. 19 is a diagram showing an example of a virtual lane when obstacles appear on a road. -
FIG. 20 is a diagram showing an example in which the virtual lane is set on a wide road on which a lane boundary line is not drawn. -
FIG. 21 is a diagram showing a traveling situation of a vehicle of each time zone on an upper road shown inFIG. 20 . -
FIG. 22 is a flow chart showing an operation of main processing according to a third embodiment. -
FIG. 23 is a flow chart showing traveling locus transmission processing. -
FIG. 24 is a flow chart showing generation processing of a virtual lane. -
FIG. 25 is a diagram showing an example of a transmission traveling locus. -
FIG. 26 is a diagram showing transmission traveling loci S1 to S7 stored in a server and transmission traveling loci P1 to P7 transmitted to the server. -
FIG. 27 is a block diagram showing a configuration of a vehicle control device according to a fourth embodiment. - Hereinafter, a first embodiment of a vehicle control system and a vehicle control device will be described with reference to
FIGS. 1 to 14 . -
FIG. 1 is a block diagram showing a configuration of avehicle control system 1. Thevehicle control system 1 includes avehicle control device 2 and aserver 40. Thevehicle control device 2 is mounted on avehicle 5. Thevehicle control device 2 and theserver 40 are connected to each other via a network. Theserver 40 is connected to a plurality ofvehicle control devices 2, but inFIG. 1 , only onevehicle control device 2 is illustrated. Allvehicle control devices 2 are mounted on a vehicle. - The
vehicle control device 2 includes anavigation device 10, acourse calculation ECU 20, and avehicle control ECU 30. - The
navigation device 10 includes adisplay 11 which presents information to a user, aswitch 12 which receives an input from the user, astorage section 13 which stores information used for processing to be described below, avehicle communication section 14 which performs communication with aserver 40, aGPS tuner 15 which calculates a position, agyroscope 16 which calculates an attitude, aspeaker 17 which presents information to the user, a route calculation section 18 which calculates a route to an input destination, and anavigation control section 19. - The
switch 12 includes a plurality of buttons, and a driver uses theswitch 12 to set the destination or to set presence or absence of an automatic operation request. - The
storage section 13 is a nonvolatile memory or a magnetic disk, and thestorage section 13stores map information 13 a. A data structure of themap information 13 a is described below. Thismap information 13 a includes not only information on a traveling lane which is defined by a mark line drawn on a road, but also information (hereinafter, referred to as “virtual lane information”) on a traveling lane which is virtually set on a road on which the mark line is not drawn. Hereinafter, the virtual traveling lane specified by the virtual lane information is referred to as a “virtual lane” and a lane specified by a lane mark line drawn on a road is referred to as a “real lane”. Themap information 13 a is used to grasp a position of an own vehicle, grasp positions of other vehicles, calculate a traveling route, or the like. - The
vehicle communication section 14 receives new map information from theserver 40 and updates themap information 13 a of thestorage section 13. - The
GPS tuner 15 demodulates a signal received by a GPS antenna (not shown) from a GPS satellite to calculate the position of thevehicle control device 2. A plurality of positions calculated by theGPS tuner 15 are put together, which is a locus (hereinafter, referred to as “traveling locus”) along which thevehicle 5 on which thevehicle control device 2 is mounted has traveled. - The route calculation section 18 calculates the route to the input destination using the
map information 13 a stored in thestorage section 13. - The
navigation control section 19 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program. The operation of this program is described below. In addition to the operation of the program described below, thenavigation control section 19 transmits the traveling locus of the vehicle to theserver 40 every predetermined time. - The
course calculation ECU 20 includes aradar 21 and acamera 22 which monitor circumference, a road-to-vehicle communication unit 23 and a vehicle-to-vehicle communication unit 24 which grasp positions of other vehicles by communication, and a targetcourse generation section 28 which calculates a course (hereinafter, referred to as “target course”) which is a traveling target of a vehicle, and acontrol section 29. - The target
course generation section 28 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program, thereby calculating the target course. When calculating the target course, the targetcourse generation section 28 refers to the position of thevehicle control device 2 calculated by thenavigation device 10 and themap information 13 a stored in thenavigation device 10. The operation of this program is described below. The targetcourse generation section 28 corrects the target course to avoid obstacles as needed, based on information obtained from theradar 21 and thecamera 22 and the positions of other vehicles obtained by the road-to-vehicle communication and the vehicle-to-vehicle communication. - The
control section 29 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program. The operation of this program is described below. - The
vehicle control ECU 30 includes asensor 31 such as a steering angle sensor and a vehicle speed sensor, anactuator 32 controlling a steering, an accelerator, and a brake, and avehicle control section 39. - The
vehicle control section 39 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program. This program outputs an operation command to theactuator 32 so that thevehicle 5 moves along the target course calculated by thecourse calculation ECU 20. - The
server 40 includes aserver communication section 42 which communicates with thenavigation device 10, aserver storage section 43, and aserver control section 49. - The
server storage section 43 is a nonvolatile memory or a magnetic disk, and theserver storage section 43 stores mapinformation 43 a. A data structure of themap information 43 a is similar to that of themap information 13 a. Themap information 43 a is transmitted to thenavigation device 10 via theserver communication section 42, and themap information 13 a of thestorage section 13 is updated. - The
server control section 49 includes a CPU, a ROM, and a RAM which are not shown, and develops a program, which is stored in the ROM, in the RAM and executes the program. The program generates virtual lane information based on the traveling locus received from the plurality ofvehicle control devices 2 and updates themap information 43 a. It should be noted that themap information 43 a may be rewritten from the outside via theserver communication section 42. - <Map Information>
- The data structure of the
map information 13 a is described. As described above, themap information 43 a also has the same data structure. -
FIGS. 2 and 3 are diagrams showing the data structure of themap information 13 a. Themap information 13 a includes six hierarchies of first to sixth hierarchies, and elements of a certain hierarchy include elements of a plurality of lower hierarchies. InFIGS. 2 and 3 , a left end shown is a first hierarchy and a right end shown is a sixth hierarchy. InFIGS. 2 and 3 , a sign consisting of “F” and numerals are attached to the respective elements. InFIGS. 2 and 3 , hierarchies under a third hierarchy are different.FIG. 2 shows a structure under link information F23 andFIG. 3 shows a structure under node information F25. First, a range shown inFIG. 2 is described. - The
map information 13 a is managed by being divided into a grid-like area called a mesh. The mesh is generally separated by constant values of latitude and longitude. Each mesh size may be stored as a fixed length or a data size may be stored as variable length. Here, each mesh size is stored as the fixed length and the data size is not stored. When the mesh size is stored as a variable length according to the data size of each mesh, there is a need to store a capacity of each data in the map data. The same goes for the following each data. - The number of meshes stored in the
map information 13 a is stored as the number of meshes F11, information on each mesh is stored in mesh information F12, and the same number of mesh information F12 as the meshes is stored asmesh information 1, meshinformation 2, . . . . - A configuration of the second hierarchy is described.
- The mesh information F12 includes a mesh number F21, the number of links F22, a plurality of pieces of link information F23, the number of nodes F24, and a plurality of pieces of node information F25.
- The mesh number F21 stores a number which identifies the mesh. The number of links F22 stores the number of links included in the mesh. The link is described below. The individual information on these links is stored in link information F23, and the same number of link information F23 as the link are stored as
link information 1, linkinformation 2, . . . . The number of nodes F24 stores the number of nodes included in the mesh. The node is described below. The individual information on these nodes is stored in the node information F25. A structure of the node information F25 is described below with reference toFIG. 3 . - The node and the link are described with reference to
FIG. 4 . The node refers to certain points on a road and the link connects the nodes to each other. The nodes are mainly set at an intersection, but the node is also provided at a boundary at which the link information such as increase and decrease in the number of lanes is changed. As shown inFIG. 4 , the link information is information relating to a road indicated by a line segment inFIG. 4 , and the node information is information relating to an intersection indicated by a black circle point inFIG. 4 . The description is continued with reference toFIG. 2 again. - A configuration of the third hierarchy is described.
- The link information F23 includes a link ID F31 in which a unique number is stored, connection node information F32 in which information relating to the node connected to the link is stored, an XYZ coordinate string F33 in which a coordinate of interpolation points for indicating starting and ending points and a road shape therebetween, a link type F34 in which a classification of roads such as highway or a national road is stored, lane information F35 in which the number of lanes or a type of lane mark line are stored, and additional information F36 in which a position of a traffic sign and the like are stored.
- A configuration of the fourth hierarchy is described.
- The connection node information F32 includes a node ID (F51) on a starting point side as seen from a direction in which a vehicle can advance and a node ID (F52) on an ending point side as seen from the direction in which the vehicle can advance. In the example shown in
FIG. 4 , if the link is link ID=4, a node ID on the starting point side is equal to 2000 and a node ID on the ending point side is equal to 1000. - The XYZ coordinate string F33 stores the information relating to the coordinates for indicating the starting and ending points of the link and the road shape therebetween, and includes the number of coordinate points F53 in which the points of the coordinate points are stored and a plurality of coordinates F54 in which specific XYZ coordinates, that is, longitude, latitude, and altitude from a reference point are stored.
- The link type F34 includes a road type F55 representing the classification of roads such as highways or a national roads and a road width F56. However, apart from this, the classification may include a ramp road indicating an entrance or an exit of highway and a roundabout indicating a rotary-like road.
- The lane information F35 includes the number of lanes F57 and a plurality of lane information F58 in which the information on the lane is stored.
- The additional information F36 includes sign information F59 in which information relating to a sign is stored and destination signboard information F60 in which information relating to a destination signboard having information equivalent to the sign is stored.
- A configuration of the fifth hierarchy is described.
- The lane information F58 includes a lane attribute F71 in which information indicating a lane attribute is stored and a plurality of shape points F72 in which coordinates indicating a shape of a central line of a lane are stored.
- The sign information F59 includes a sign type F73 in which a classification of a no stopping/parking area, a speed sign or the like is stored, a sign position F74 in which a position of a sign is stored, and sign contents F75 in which contents described in a sign are stored.
- A configuration of the sixth hierarchy is described.
- The lane attribute F71 includes an uphill lane flag F91 in which information on whether a lane is an uphill lane is stored, a lane change propriety F92 in which information on whether a lane can be changed to left and right lanes is stored, a virtual flag F93 in which information on whether a lane is a real lane or a virtual lane is stored, an entry propriety F94 in which information on whether a passenger car can be traveled is stored, a connection source link ID (F95) which is a rear side link as viewed from an advancing direction among the links to which the lane is connected, and a connection destination link ID (F96) which is a front side link as viewed from the advancing direction among the links connected to the which the lane is connected.
- The structure of the node information F25 belonging to the third hierarchy is described with reference to
FIG. 3 . - The node information F25 includes a node ID F37 which is a unique number, target point information F38 in which information on a target point used as a target position at the time of a course generation when there is no virtual lane is stored, signal information F39 in which information on a traffic light existing within the intersection is stored, intra-intersection lane information F40 in which lane information within the intersection is stored, connection link information F41 in which information on a link connected to the node is stored, and an intersection size F200 indicating a size of a radius of the intersection.
- The configuration of the fourth hierarchy in
FIG. 3 is described. - The target point information F38 is information used when the virtual lane is not set and a course is generated toward the coordinates indicated by this information. The target point information F38 includes the number of target points F61 in which a total number of target points are stored, and a plurality of targets F62 in which information on the target point is stored.
- The signal information F39 includes the number of signals F63 in which the total number of signals is stored and a plurality of signals F64 in which information relating to the signals is stored.
- The configuration of the intra-intersection lane information F40 is similar to that of the lane information F35. That is, a structure of lane information F66 configuring the intra-intersection lane information F40 is the same as that of the lane information F58, and a configuration of a lane attribute F81 is the same as that of the lane attribute F71.
- The connection link information F41 includes the number of connection links F67 in which the total number of links connected to the node is stored and a plurality of connection link IDs (F78) in which the link ID of the link to be connected is stored. In the example shown in
FIG. 4 , since four links are connected to a node having node ID=1000, the number of connection links F67 stores “4” and the connection link ID (F68) stores ID=1, 2, 3, and 4. The description is continued with reference back toFIG. 3 again. - The configuration of the fifth hierarchy in
FIG. 3 is described. - The target F62 includes an attribute F76 in which information indicating what lane of the lanes is stored, an XY coordinate F77 in which latitude and longitude are stored, a corresponding link ID F78 in which a link ID corresponding to the target point is stored.
- The signal F64 includes a signal type F79 in which information relating to the type of the signal such as whether it is a suspension type or installed in a pole is stored and a coordinate F80 in which information relating to the latitude, longitude and altitude of the signal is stored.
- The configuration of the lane information F66 is the same as that of the lane information F58 as described above.
- As described above, the virtual lane information is indicated in the
map information 13 a by the lane information F58 of the lane information F35, in which a virtual flag F93 indicates a virtual lane, and the lane information F66 of the intra-intersection lane information F40, in which a lower flag F99 indicates the virtual lane. - (Flow Chart)
- The operation of the
vehicle control device 2 is described with reference toFIGS. 5 to 10 . -
FIG. 5 is a flow chart showing an operation of main processing executed by thecontrol section 29 of thecourse calculation ECU 20. An execution entity of each step described below is the CPU of thecontrol section 29. The present processing starts once, for example, every 50 ms. - In step S101, it is determined whether there is a request for an automatic operation by an operation of the
switch 12 by a driver. If it is determined that there is the request for the automatic operation, the process proceeds to step S102, and if it is determined that there is no request for the automatic operation, the process proceeds to step S109. - In step S102, the
navigation device 10 performs the processing of grasping the current position of the own vehicle shown in detail inFIG. 6 , and if a processing result is received, the process proceeds to step S103. - In step S103, the processing of grasping the current positions of other vehicles shown in detail in
FIG. 7 is performed, and then the process proceeds to step S104. - In step S104, it is determined whether the route to the destination is set, and if it is determined that the route to the destination is set, the process proceeds to step S105 and if it is determined that the route to the destination is not set, the process proceeds to step S106.
- In step S105, the
navigation device 10 performs the route calculation shown in detail inFIG. 8 , and if the processing result is received, the process proceeds to step S106. - In step S106, the processing of determining the target course shown in detail in
FIG. 9 is performed, and then the process proceeds to step S107. - In step S107, an operation command is output to the
vehicle control ECU 30 so that the vehicle travels along the target course determined in step S106, and the process proceeds to step S108. - In step S108, behavior of the vehicle is notified to the driver using the
display 11 or thespeaker 17 in order to give a sense of security to the driver, and the operation of the program shown inFIG. 5 ends. - In step S109 executed when the negative determination is made in step S101, virtual lane correction processing shown in detail in
FIG. 10 is performed, and the operation of the program shown inFIG. 5 ends. -
FIG. 6 is a flow chart showing the processing operation of grasping the current position of the own vehicle executed by thenavigation device 10 based on the operation command from thecourse calculation ECU 20. An execution entity of each step described below is the CPU of thenavigation control section 19. - In step S131, the current position or azimuth information of the vehicle is read from the
GPS tuner 15, and the process proceeds to step S132. - In step S132, the current position read in step S131 is supplemented based on the information on the
gyroscope 16 and the vehicle speed sensor which is thesensor 31 connected to thevehicle control ECU 30. In addition, when the current position or the azimuth information of the vehicle is not read in step S131, the latitude, longitude and azimuth of the own vehicle are calculated based on an angular velocity in a yaw direction of the vehicle obtained from thegyroscope 16 or a travel distance and an azimuth change amount obtained from the vehicle speed sensor. Next, the process proceeds to step S133. - In step S133, the information on the road in the vicinity of the position of the own vehicle within the map data is read out. In the following step S134, the position on the road is specified most reliably based on the current position and the azimuth among the roads which are read out, and a link number of the road is stored. Next, the process proceeds to step S135.
- In step S135, an image photographed by the
camera 22 is processed, and a result of recognizing whether the mark line on both sides of the lane on which the own vehicle is traveling is a solid line or a broken line is obtained via thecourse calculation ECU 20. In the following step S136, the information on the current position, the azimuth, and the mark line is compared with themap information 13 a to specify the lane on which the vehicle is traveling and transmit the specified lane to thecourse calculation ECU 20. However, when the discrimination is not made only by the image recognition result of the lane on which the own vehicle is traveling, the lane may be specified by using the information on the mark line existing around the neighboring lanes or the like. - In this way, the operations in the flow chart shown in
FIG. 6 ends. -
FIG. 7 is a flow chart showing the processing operation of grasping the current positions of other vehicles described with reference toFIG. 5 . The execution entity of each step described below is the CPU of thecontrol section 29. - In step S141, the map data in the vicinity of the current position included in the
map information 13 a is read out from thenavigation device 10, and the process proceeds to step S142. - In step S142, the distance and angle with respect to other vehicles are calculated based on the information obtained from the
radar 21, and the distance and angle with respect to other vehicles are calculated by analyzing a photographed image obtained from thecamera 22. Consistency between the information obtained from theradar 21 and the information obtained from thecamera 22 is confirmed, and a relative position with respect to other vehicles existing around the own vehicle is grasped. Next, the process proceeds to step S143. - In step S143, it is grasped on which lane other vehicles are traveling based on the information obtained in step S143 and the shape of the lane included in the
map information 13 a. In addition, a speed of other vehicles is also obtained using the Doppler effect of theradar 21. However, after it is determined whether it is the same as the one previously recognized by using the image photographed by thecamera 22, if it is the same, relative speeds of other vehicles may be obtained based on an elapsed time and a distance difference. - In this way, the operations in a subroutine shown in FIG. 7 ends.
-
FIG. 8 is a flow chart showing the processing operation of the route calculation executed by thenavigation device 10 based on the operation command from thecourse calculation ECU 20. The execution entity of each step described below is the CPU of thenavigation control section 19. - In step S151, the current position is read from the
GPS tuner 15, and the destination that the driver sets using theswitch 12 is read. In the following step S152, themap information 13 a necessary for the route calculation is read, and the process proceeds to step S153. - In step S153, the route from the current position read in step S151 to the destination set by the driver, that is, the selection and permutation of the link is calculated. In this calculation of the route, the route where the distance from the current position to the destination is shortest or the required time is least is calculated using an algorithm which calculates an optimum route for a network such as the Dijkstra method. The calculation results are obtained as ones arranged in the traveling order of the links to be continued from the current position to the destination. The calculated route is transmitted to the
course calculation ECU 20. Thecourse calculation ECU 20 stores the received route information in the RAM of thecontrol section 29. - In this way, the operation of the program shown in
FIG. 7 ends. -
FIG. 9 is a flow chart showing details of step S106 ofFIG. 5 . By the processing in this flow chart, the target locus along which the vehicle travels is determined. - In step S111, the route is read out from the RAM. The route stored in the RAM is shown in, for example,
FIG. 11 . -
FIG. 11 is a diagram showing an example of the calculation result of the route. As described above, the routes are arranged in the traveling order of the link IDs of the traveling links. Next, the process proceeds to step S112. - In step S112, the image photographed by the
camera 22 is analyzed and it is determined whether only a real lane exists on a forward road within the predetermined distance from the current traveling place. If it is determined that the real lane exists and the virtual lane does not exist, the process proceeds to step S118, and if it is determined that at least the virtual lane exists or neither the real lane nor the virtual lane exists, the process proceeds to step S113. It should be noted that the determination in step S112 may be made based on the link information and the node information corresponding to the route ahead of the current position of the own vehicle specified by thenavigation device 10 in step S102 among themap information 13 a without using the analysis result of the image photographed by thecamera 22. - In step S113, it is determined whether the virtual lane exists on the forward road within the predetermined distance from the current traveling place based on the link information and the node information corresponding to the route ahead of the current position of the own vehicle specified by the
navigation device 10 in step S102. If it is determined that the virtual lane exists, the process proceeds to step S114, and if it is determined that the virtual lane does not exist, the process proceeds to step S116. - In step S114, the virtual lane is appropriately selected with reference to the route information, and in the following step S115, the target course along the virtual lane is determined. Next, the process proceeds to step S120.
- In step S116 executed when it is determined that there is no virtual lane, the target point which is the starting point of the next traveling link is selected, and in the following step S117, the target course along which the vehicle goes straight from the current position toward the target point is determined. Next, the process proceeds to step S120.
- In S118 executed when it is determined that there is the real lane and there is no virtual lane, the target course along the real lane is determined, and the process proceeds to step S120.
- In step S120, it is determined whether the target starting determined in step S115, S117 or S118 is the target course requiring the lane change immediately, and if it is determined that the lane change is required, the process proceeds to step S121 and if it is determined that the lane change is not required, the process proceeds to step S123.
- In step S121, it is determined whether there is a collision possibility of the own vehicle with other vehicles when the own vehicle performs the lane change according to the target course, based on the position and speed of the own vehicle obtained in step S102 of
FIG. 5 and the positions and speeds of other vehicles obtained in step S103. If the collision possibility is equal to or more than a predetermined value, the process proceeds to step S122, and if the collision possibility is less than the predetermined value, the process proceeds to step S123. - In step S122, the change to the target course without the lane change is performed, or the change to the target course such as the lane change after a vehicle travels a predetermined distance, and the process returns to step S120.
- In step S123, it is determined whether a distance from other vehicles existing ahead of the vehicle to the own vehicle is equal to or less than a predetermined value. If it is determined that the distance is larger than the predetermined value, the operation of the program shown in
FIG. 9 ends, and if it is determined that the distance is smaller than the predetermined value, the process proceeds to step S124. However, in this step, the relative speed between other vehicles and the own vehicle in addition to the distance from other vehicles to the own vehicle may be considered. - In step S124, a deceleration command is output to the
vehicle control ECU 30 to perform a deceleration, and the process returns to step S123. -
FIG. 10 is a flow chart showing step S109 inFIG. 5 in detail. Themap information 13 a is updated by the processing in this flow chart. As described above, this step is executed when there is no request for an automatic operation, that is, when the driver himself/herself drives a vehicle. - In step S161, it is determined whether the traveling locus along which the driver himself/herself drives a vehicle follows the virtual lane. If it is determined that the traveling locus follows the virtual lane, since it is not necessary to correct the
map information 13 a, the operation of the program shown inFIG. 10 ends. If it is determined that the traveling locus does not follow the virtual lane, the process proceeds to step S162. - In step S162, the difference between the traveling locus and the virtual lane is recorded, and the process proceeds to step S163.
- In step S163, it is determined whether the number of times that the vehicle does not travel along the virtual lane at that location is equal to or more than a predetermined number of times. If it is determined that the number of times is equal to or more than the predetermined number of times, the process proceeds to step S164, and if it is determined that the number of times is less than the predetermined number of times, the operation of the program instructing the execution of the operations shown in
FIG. 10 ends. - In step S164, the average value of the difference between the traveling locus and the virtual lane is calculated, the virtual lane corrected based on the average value is recorded in the
map information 13 a as a new virtual lane, that is, themap information 13 a is updated. However, the average value of the traveling locus may be considered as a new virtual lane. In this way, the operation of the program instructing the execution of the operations shown inFIG. 10 ends. - The processing shown in steps S112 to S118 of
FIG. 9 is described with reference toFIGS. 2 to 4 andFIG. 11 . As a premise of the situation described below, the calculation result of the route shown inFIG. 11 is stored in an RAM, themap information 13 a corresponding to circumference of thevehicle 5 on which thevehicle control device 2 is mounted is shown inFIG. 4 , and thevehicle 5 is assumed to be on the current link having link ID=4. - First, the link information F23 having the link number is read out from the
map information 13 a, and the node ID on the ending point side within the link information is obtained. In the example shown inFIG. 4 , the node ID on the ending point side is 1000. It should be noted that this processing corresponds to a process of searching for a next intersection that a vehicle travels. The information on the node ID is obtained from the node information F25, and it is determined whether there is the target F62 or the lane information F66 in which the virtual flag F93 is ON (step S112). If there is not such lane information F66, the target course along the real lane is determined (step S118). - If there is the link having link ID=2 which is the next link on the route among the links in which a virtual link flag F95 is ON (step S113), the virtual lane is selected.
- If there is no link having link ID=2 which is the next link on the route in step S113, the target point of the link ID=2 which is the next link on the route from the target point information F38 within the node information is selected (step S116) and the target course along which the vehicle goes straight to the coordinates of that point is generated (step S117). It should be noted that the coordinates of the node on the starting point side of the next link on the route may be used instead of the target point.
-
FIG. 12 is a diagram showing an example in which a plurality of virtual lanes exist. InFIG. 12 , four links having link IDs=1 to 4 are connected to a node having node ID=1000, and link ID=4 is connected to a link having link ID=5 at a node having node ID=2000. However, the node having node ID=1000 is indicated by the size indicating the intersection based on the intersection size F200 stored in themap information 13 a. In addition, as shown inFIG. 12 , in themap information 13 a, the link having link ID=2 is configured from two lanes, and as the virtual lane connected from the link having link ID=4 to the link having link ID=2, a total of two virtual lanes connected to the respective lanes are recorded. - When the link having link ID=2 is set next to the link having link ID=4 in the calculated route, the target
course generation section 28 selects the virtual lane as follows, for example (FIG. 9 , step S114). In other words, in the case in which a route at which a vehicle turns right after the vehicle has traveled on the link having link ID=2 is set, a virtual lane connected to a lane belowFIG. 12 is selected, and in other cases, the virtual lane connected to the lane aboveFIG. 12 is selected. -
FIG. 13 shows an example in which there are a plurality of virtual lanes at an annular intersection. 8 links having link IDs=10 to 17 are connected to the node shown in the center ofFIG. 13 . Thevehicle 5 is traveling on the current link having link ID=10. In addition, two virtual lanes connecting the link having link ID=10 to the link having link ID=12 are recorded in themap information 13 a. - When the link having link ID=12 is set next to the link having link ID=10 in the calculated route, the target
course generation section 28 selects the virtual lane as follows, for example (FIG. 9 , step S114). In other words, the targetcourse generation section 28 determines which one of the two virtual lanes the vehicle travels according to the number or positions of vehicles recognized using thecamera 22 or theradar 21. -
FIG. 14 shows an example in which the virtual lane is broken at an annular intersection. 8 links having link IDs=10 to 17 are connected to a node having node ID=20 shown in the center ofFIG. 14 . However, the node having node ID=20 is indicated by the size indicating the intersection based on the intersection size F200 stored in themap information 13 a. Thevehicle 5 is traveling on the current link having link ID=10. In addition, the virtual lane extending from an intersecting point of the link having link ID=10 with the annular intersection to the vicinity of the center of the annular intersection is recorded in themap information 13 a. In addition, thetarget point 400 is an intersecting point of the link having link ID=14 with the node having node ID=20. - For example, the target
course generation section 28 generates the target course as follows at the annular intersection at which the link having link ID=10 and the link having link ID=14 are connected to the node having node ID=20 and which corresponds to the node having node ID=20 from the links having link ID=10 to link ID=14. In other words, a target course corresponding to a virtual lane shown in o one-dot chain line on which an intersecting point of the link having link ID=10 with the annular intersection is set as a starting point, and alinear target course 410 connecting an endpoint of the virtual lane to the link having link ID=14 at thetarget point 400 are generated. - According to the above-described first embodiment, the following operational effects can be obtained.
- (1) The
vehicle control system 1 includes thevehicle control device 2 mounted on thevehicle 5 and theserver 40 connected to thevehicle control device 2 via a network. Theserver 40 includes the virtual lane generation section (i.e., the server control section 49) which generates themap information 43 a including the virtual lane information relating to the virtual lane virtually set on the road at least based on the traveling loci of other vehicles other than thevehicle 5 and theserver communication section 42 that transmits themap information 43 a including the virtual lane information generated by the virtual lane generation section to thevehicle control device 2. Thevehicle control device 2 includes thevehicle communication section 14 which receives themap information 43 a including the virtual lane information from theserver 40, the targetcourse generation section 28 which generates the target course of thevehicle 5 based on the virtual lane information, and thevehicle control section 39 which causes thevehicle 5 to move along the target course generated by the targetcourse generation section 28. - Since the
vehicle control system 1 is configured in this way, it is possible to obtain a target locus similar to those of other vehicles. Even if a lane boundary line is drawn, a vehicle generally moves without moving along the lane boundary line at a specific node or link. Therefore, a vehicle can avoid a collision by moving along the target locus which is the virtual lane similar to those of other vehicles. - Further, as can be seen from the fact that there is only the difference in the virtual flag F93 in
FIGS. 2 and 3 , since the virtual lane information can be processed almost in the same way as the information of the lane boundary line, the vehicle control using the virtual lane information is performed easily. - (2) The
vehicle control device 2 includes thestorage section 13 which stores themap information 13 a including the node indicating the predetermined point and the link connecting between the points. The targetcourse generation section 28 generates the target course corresponding to the virtual lane having the intersecting point of the first link with the intersection as the starting point and the linear target course connecting the endpoint of the virtual lane to the second link, when generating the target course at the intersection at which the first link and the second link are connected to the first node and corresponding to the first node from the first link to the second link. - Therefore, the
vehicle control device 2 can generate the target course even when the virtual lane information does not reach the next node, and can cause thevehicle control section 39 to move thevehicle 5 along the target course. - (Modification 1)
- The
server control section 49 of theserver 40 may generate virtual lane information by setting a virtual lane, particularly, on a tollgate exit of highway or a rotary, based on the traveling locus received from thevehicle control device 2. -
FIG. 15 is a diagram showing an example of generating the virtual lane at the tollgate exit of highway. The vehicle enters a tollgate at the center ofFIG. 15 from the bottom ofFIG. 15 and travels upward inFIG. 15 . Theserver control section 49 generates a virtual lane indicated by a one-dot chain line inFIG. 15 based on the traveling locus received from thevehicle control device 2. Theserver control section 49 may grasp a position of a tollgate based on data indicating that the tollgate is a tollgate included in themap information 43 a, estimate the position of the tollgate based on a pattern of a road shape included in themap information 43 a, or estimate the position of the tollgate based on the traveling locus received from thevehicle control device 2. Further, this virtual lane may extend upward inFIG. 15 . By setting the target course along this virtual lane, the vehicle can be prevented from approaching to other vehicles immediately after passing through a tollgate. -
FIG. 16 is a diagram showing an example of generating a virtual lane at a rotary. The hatched portion on the left end inFIG. 16 shows a dedicated bus lane and therefore traveling of a general vehicle is not permitted. For this reason, theserver control section 49 generates three virtual lanes indicated by a one-dot chain line inFIG. 16 based on the traveling locus received from thevehicle control device 2, and then estimates that traveling is not permitted since there is no vehicle traveling on the lane of the left end inFIG. 16 and stores information on the fact that a vehicle cannot be traveled according to whether the intrusion of the lane is permitted F102. However, it is desirable to keep the virtual lane information when considering that it is necessary to travel on a dedicated bus lane when an emergency such as when two lanes on which a vehicle normally travels are blocked by an accident occurs. - According to the above-described
Modification 1, the following operational effects can be obtained. - (1) The
server 40 generates the virtual lane information relating to the virtual lane set on the exit of the tollgate of highway. - Therefore, the
vehicle 5 equipped with thevehicle control device 2 can be prevented from approaching to other vehicles immediately after passing through the tollgate. - (Modification 2)
- The
server control section 49 of theserver 40 may generate the virtual lane information at a position where the lane boundary line is not drawn on the road. In this way, at a position where it is difficult to originally predict behaviors of other vehicles since there is no lane boundary line, it is possible to avoid a collision with other vehicles since it is possible to predict that other vehicles also move along the virtual lane. In addition, if the virtual lane information is not generated at the position where the lane boundary line is drawn on the road, it is possible to avoid the overlap between the real lane and the virtual lane. - (Modification 3)
- In the first embodiment described above, the
vehicle control device 2 receives themap information 43 a from theserver 40 via thecommunication section 14, and stores the received themap information 43 a as themap information 13 a in thestorage section 13. However, a method of acquiring themap information 13 a is not limited thereto. - The
map information 13 a may be stored in thestorage section 13 in advance or thevehicle control device 2 may read themap information 13 a from the recording medium into thestorage section 13 using a recording medium reading device (not shown). - According to the above-described
Modification 3, the following operational effects can be obtained. - (1) The
vehicle control device 2 is mounted on thevehicle 5. Thevehicle control device 2 includes thestorage section 13 which stores themap information 13 a including the virtual lane information relating to the virtual lane virtually set on the road at least based on traveling loci of other vehicles other than thevehicle 5, the targetcourse generation section 28 which generates the target course of thevehicle 5 based on the virtual lane information stored in thestorage section 13, and thevehicle control section 39 which causes thevehicle 5 to move along the target course generated by the targetcourse generation section 28. - Therefore, the
vehicle control device 2 can obtain the target locus similar to those of other vehicles without communicating with theserver 40. - A second embodiment of a vehicle control system and a vehicle control device is described with reference to
FIGS. 17 to 19 . In the following description, the same reference numerals are given to the same components as those in the first embodiment, and the difference from the first embodiment is mainly described. The points which are not particularly described are the same as those of the first embodiment. The second embodiment is different from the first embodiment mainly in that the server generates the information on the virtual lane based on accident information. - The configurations of the
vehicle control system 1 and theserver 40 are similar to those of the first embodiment. However, the operation of the program stored in thecontrol section 29 of thecourse calculation ECU 20 is different from that of the first embodiment. In addition, theserver 40 communicates with an on-road abnormality notification server (not shown) and immediately receives a notification of an occurrence location of abnormality as soon as the abnormality occurs on the road such as a traffic accident, etc. If theserver 40 receives the notification of the occurrence of the abnormality, the virtual lane is set based on the traveling locus of the vehicle traveling in the vicinity of the occurrence location of the abnormality after the time to generate the virtual lane information. - (Flow Chart)
-
FIG. 17 is a flow chart showing the operation of the main processing executed by thecontrol section 29 of thecourse calculation ECU 20 in the second embodiment. The processing similar to that in the first embodiment is denoted by the same step numbers, and the description thereof is omitted. - When the main processing starts, unlike the first embodiment, without determining whether the automatic operation is required, steps S102 and S103 are executed and the current positions of the own vehicle and other vehicles are grasped. Next, the process proceeds to step S171.
- In step S171, the current position of the own vehicle acquired in step S102 is transmitted to the
server 40, and a reply from theserver 40 is received. Theserver 40 transmits a reply indicating that there is the information on the virtual lane when there is the information on the virtual lane in the vicinity of the current position of the vehicle, and transmits a reply indicating that there is no information on the virtual lane when there is no information on the virtual lane in the vicinity of the current position of the vehicle. Next, the process proceeds to step S172. - In step S172, it is determined whether a reply indicating that there is the information on the virtual lane is received from the
server 40. If it is determined that the reply indicating that there is the information on the virtual lane is received, the process proceeds to step S173, and if it is determined that the reply indicating that there is the information on the virtual lane is not received, the operation of the program shown inFIG. 17 ends. - In step S173, the processing of determining the target course shown in detail in
FIG. 18 is performed, and then the process proceeds to step S107. - The operations after step S107 are similar to those in the first embodiment, and therefore the description thereof is omitted.
-
FIG. 18 is a flow chart showing step S173 inFIG. 17 in detail. By the processing in this flow chart, the target locus along which the vehicle travels is determined. - In step S181, the
map information 43 a including the information on the virtual lane is received from theserver 40, themap information 13 a stored in thestorage section 13 is updated using themap information 43 a, and the process proceeds to step S182. - In step S182, the optimum virtual lane is selected from the
map information 13 a, and in the following step S183, the target course along the virtual lane selected in step S182 is determined, and the process returns toFIG. 17 . -
FIG. 19 is a diagram showing an example of a virtual lane when an obstacle appears on a road. - If the obstacle appears on the road, the on-road abnormality notification server notifies the
server 40 that an obstacle OB occurs on the road. Since vehicles traveling on a road are traveled while avoiding the obstacle OB by the driver's own operation, the traveling locus avoiding the obstacle OB is transmitted from thevehicle control device 2 mounted on these vehicles to theserver 40. Theserver 40 generates the virtual lane information based on the traveling locus of the vehicle traveling in the vicinity of the occurrence location of the obstacle OB after receiving the notification. - Thereafter, when the
vehicle control device 2 of the vehicle traveling in the vicinity of the occurrence location of the obstacle OB transmits the current position to the server 40 (step S171 inFIG. 17 ), the reply indicating that there is the information on the virtual lane (step S172: YES) is received from theserver 40. Therefore, thevehicle control device 2 generates the target course to avoid the obstacle OB based on the virtual lane information. - According to the above-described second embodiment, the following operational effects can be obtained.
- (1) The
server 40 includes theserver storage section 43 which stores themap information 43 a including a node indicating a predetermined point and a link connecting between points. The virtual lane generation section, that is, theserver control section 49 specifies the node or the link at which the accident occurs when receiving the information on the accident from the on-road abnormality notification server, and generates the virtual lane information based on the traveling locus of the vehicle traveling on the node or the link. - Therefore, the
vehicle control device 2 that has received thenew map information 43 a from theserver control section 49 can keep up with the flow of the vehicle changed due to the occurrence of the accident. - The
server control section 49 may set different virtual lanes by time zone. -
FIG. 20 is a diagram showing an example in which the virtual lane is set on a wide road on which a lane boundary line is not drawn. A road on an upper part inFIG. 20 is a one way road going upward, and the lane boundary line is not drawn. -
FIG. 21 is a diagram showing the traveling situation of the vehicle by time zone on the road on the upper part inFIG. 20 . - On the road, as shown in
FIG. 21 , the vehicles travel on 4 lanes during daytime when a traffic volume is increased, and the vehicles travel on 3 lanes at nighttime when the traffic volume is decreased. For this reason, theserver control section 49 which has received the traveling locus from thevehicle control device 2 of these vehicles sets virtual lanes by time zone as shown inFIG. 21 . - The
server control section 49 may transmit themap information 43 a, to which the information on the time zone is added, to thevehicle control device 2, and transmit themap information 43 a including the virtual lane information corresponding to the changed traffic volume to thevehicle control device 2 at the time when the traffic volume is changed. - A third embodiment of a vehicle control system and a vehicle control device is described with reference to
FIGS. 22 to 25 . In the following description, the same reference numerals are given to the same components as those in the first embodiment, and the difference from the first embodiment is mainly described. The points which are not particularly described are the same as those of the first embodiment. The third embodiment is different from the first embodiment in that the vehicle control device partly generates the virtual lane information within the intersection, while in the first embodiment, all the virtual lane information is generated by the server. - The configurations of the
vehicle control system 1 and theserver 40 are similar to those of the first embodiment. However, the operation of the program stored in thecontrol section 29 of thecourse calculation ECU 20 is different from that of the first embodiment. In addition, theserver control section 49 of theserver 40 performs processing to be described below to generate virtual lane information. - (Flow Chart)
-
FIG. 22 is a flowchart showing the operation of the main processing executed by thecontrol section 29 of thecourse calculation ECU 20 in the third embodiment. The processing similar to that in the first embodiment is denoted by the same step numbers, and the description thereof is omitted. The difference fromFIG. 5 in the first embodiment is only the processing in the case where the negative determination is made in step S101. - In step S101, it is determined whether there is a request for an automatic operation by operation of the
switch 12 by a driver. If it is determined that there is the request for the automatic operation, the process proceeds to step S102, and if it is determined that there is no request for the automatic operation, the process proceeds to step S300. - The operations after step S102 are similar to those in the first embodiment, and therefore the description thereof is omitted.
- In step S300, traveling locus transmission processing shown in detail in
FIG. 23 is performed, and thereafter the operation of the program shown inFIG. 22 ends. -
FIG. 23 is a flow chart showing the traveling locus transmission processing in step S300 ofFIG. 22 in detail. - In step S190, the same processing as in step S102 is performed and the acquired current position is stored in the RAM of the
control section 29. Then, the link ID corresponding to the current position is acquired with reference to themap information 13 a, and is similarly stored in the RAM of thecontrol section 29. Next, the process proceeds to step S191. - In step S191, when the previous step S190 is executed, the current position stored in the RAM is read and it is determined whether the position is inside or outside the intersection. It can be determined whether a certain position is within the intersection, for example, using the
map information 13 a as follows. First, the nearest node from the current position is specified and the intersection size F200 of the node is acquired. It is determined that the current position is within the intersection if the current position is less than the intersection size F200 from the node, and it is determined that the current position is outside the intersection if the current position is equal to or more than the intersection size F200 from the node. If it is determined that the previously acquired current position is outside the intersection, the process proceeds to step S192, and if it is determined that the previously acquired current position is within the intersection, the process proceeds to step S196. - In step S192, it is determined whether the current position acquired in the present step S190 is inside or outside the intersection. If it is determined that the currently acquired current position is outside the intersection, the subroutine representing the operations in
FIG. 23 ends, and if it is determined that the currently acquired current position is inside the intersection, the process proceeds to step S193. - In step S193, it is determined that the vehicle has entered the intersection, and the link ID stored when the previous step S190 is executed is again stored in the RAM of the
control section 29 as a transmission starting point link ID. Next, the process proceeds to step S194. - In step S194, it is determined whether the vehicle has traveled 5 m or more since the previous position was recorded, and if it is determined that the vehicle has traveled 5 m or more, the process proceeds to step S195, and if it is determined that the vehicle has not traveled 5 m or more, the operations in the subroutine shown in
FIG. 23 ends. - In step S195, the current position obtained in the current step S190 is again stored in the RAM of the
control section 29 as the transmission traveling locus, and the operations in the subroutine shown inFIG. 23 ends. - In step S196 executed when the current position is inside the intersection in step S191, it is determined whether the current position acquired in the present step S190 is inside or outside the intersection. If it is determined that the currently acquired current position is outside the intersection, the process proceeds to step S197, and if it is determined that the current position is within the intersection, the process proceeds to step S200.
- In step S197, it is determined that the current position is outside the intersection, and the link ID stored when the present step S190 is executed is again stored in the RAM of the
control section 29 as a transmission ending point link ID. Next, the process proceeds to step S198. - In step S198, the transmission starting point link ID, one or a plurality of transmission traveling loci, and the transmission ending point link ID which are stored in the RAM of the
control section 29 are transmitted to theserver 40, and the process proceeds to step S199. - In step S199, the buffer storing the position information is cleared, that is, the transmission starting point link ID, the transmission traveling locus and the transmission ending point link ID are deleted from the RAM of the
control section 29, and the subroutine representing the operations inFIG. 23 ends. - In step S200 executed when the current position is inside the intersection in step S196, it is determined whether the vehicle has traveled 5 m or more since the previous position was recorded, if it is determined that the vehicle has traveled 5 m or more, the process proceeds to step S201, and if it is determined that the vehicle has not traveled 5 m or more, the subroutine representing the operations in
FIG. 23 ends. - In step S201, the current position acquired in the present step S190 is again stored in the RAM of the
control section 29 as the transmission traveling locus. However, when the transmission traveling locus is already stored in the RAM of thecontrol section 29, it is stored as the additional transmission traveling locus. In other words, by the processing of the present step, the current position is stored every time the vehicle has traveled a certain distance within the intersection. By doing so, a subroutine representing the operations inFIG. 23 ends. -
FIG. 24 is a flow chart showing the operation of the program executed in theserver 40 if the transmission of the information is received from thevehicle control device 2 in step S198 ofFIG. 23 . The execution entity of each step described below is the CPU of theserver control section 49. - In step S210, the information received from the
vehicle control device 2 is read out from theserver communication section 42, and the process proceeds to step S211. - In step S211, it is determined whether there is a combination of the same link IDs as the currently received data among the data accumulated so far. However, the combination of the link IDs means the combination of the link IDs in which the transmission starting point link ID matches the transmission ending point link ID. If it is determined that there is the matched data, the process proceeds to step S212, and if it is determined that there is no matched data, the process proceeds to step S214.
- In step S212, the existing transmission traveling locus and a newly received transmission traveling locus is averaged. The averaging means that how many received data the accumulated data is averaged is stored and a weighted average is performed with the currently received transmission traveling locus. Since it is only necessary to calculate the average of the coordinate values in order from the first point of the traveling locus by fixing the position of the starting point of the received transmission traveling locus and keeping the interval of the traveling locus constant, the processing can be simplified. Next, the process proceeds to step S213.
- In step S213, the traveling loci averaged by the processing of step S212 are connected to each other to be represented by a line segment, a predetermined road width is given thereto, and are stored in the
map information 43 a as the virtual lane information together with the transmission starting point link ID and the transmission ending point link ID. In this way, the operation of the program shown inFIG. 24 ends. - In step S214, the received traveling loci are connected to each other to be represented by a line segment, a predetermined road width is given thereto, and are stored in the
map information 43 a as the virtual lane information together with the transmission starting point link ID and the transmission ending point link ID. In this way, the operation of the program shown inFIG. 24 ends. -
FIG. 25 is a diagram showing an example of a transmission traveling locus transmitted from thevehicle control device 2 to theserver 40. In the example shown inFIG. 25 , the vehicle equipped with thevehicle control device 2 moves from the link having link ID=4 to the link having link ID=2 via a node having node ID=1000. At this time, the vehicle equipped with thevehicle control device 2 had the traveling locus of P1 to P7 within the intersection. However, inFIG. 25 , the size of the node having node ID=1000 is drawn in accordance with the size of the intersection. - In this case, the link ID=4 as the transmission starting point link ID, the link ID=2 as the transmission ending point link ID, and the position information of the P1 to P7 as the transmission traveling locus are transmitted from the
vehicle control device 2 to theserver 40. -
FIG. 26 is a diagram showing the transmission traveling loci S1 to S7 accumulated in theserver 40, and the transmission traveling loci P1 to P7 transmitted from thevehicle control device 2 to theserver 40, which is described with reference toFIG. 25 . However, only the inside of the node having node ID=1000 inFIG. 25 is shown inFIG. 26 . In step S212 ofFIG. 24 , theserver control section 49 calculates the average value of each coordinate of the transmission traveling loci S1 to S7 and the transmission traveling loci P1 to P7 when, for example, the accumulated transmission traveling loci S1 to S7 are generated from data received once. For example, when the accumulated transmission traveling loci S1 to S7 are generated from data received twice, theserver control section 49 calculates the weighted average of the transmission traveling loci S1 to S7 and the transmission traveling loci P1 to P7, that is, a value internally dividing each coordinate into 1:2. - According to the above-described third embodiment, the following operational effects can be obtained.
- (1) The
vehicle control device 2 includes thestorage section 13 which stores themap information 13 a including the node indicating the predetermined point and the link connecting between the points, and thenavigation control section 19 which transmits the information relating to the course along which the vehicle has traveled to theserver 40 via the vehicle communication section when thevehicle 5 has traveled at the intersection corresponding to the node. - (2) The link included in the
map information 13 a is associated with an identifiable code, that is, the link ID, and thenavigation control section 19 transmits the link IDs each associated with the links corresponding to the roads as the information for identifying the road on which thevehicle 5 has traveled just before and after the intersection together with the information relating to the locus along which thevehicle 5 has traveled toserver 40. - Therefore, the
server control section 49 can easily generate the virtual lane information relating to the virtual lane connecting the first link to the second link by using the information received from thevehicle control device 2. - In the third embodiment, if the combination of the same link IDs as the currently received data exists among the data accumulated so far (in step S211: YES in
FIG. 24 ), theserver 40 performs averaging of the existing transmission traveling locus and a newly received transmission traveling locus (step S212). However, when the distance between the existing transmission traveling locus and the newly received transmission traveling locus is separated by a predetermined distance or more, a new virtual lane may be generated using the received transmission traveling locus without performing the averaging processing on the existing transmission traveling locus. In addition, when the transmission traveling locus is received from the plurality ofvehicle control devices 2, the virtual lane may be generated using only the received transmission traveling locus within the predetermined distance. In this case, as shown inFIG. 14 , the virtual lane which does not arrive to the starting point of the link having the transmission ending point link ID is generated. - A fourth embodiment of a vehicle control device is described with reference to
FIG. 27 . In the following description, the same reference numerals are given to the same components as those in the third embodiment, and the difference from the third embodiment is mainly described. The matters which are not particularly described are the same as those of the third embodiment. The fourth embodiment is different from the third embodiment mainly in that the vehicle control device generates the virtual lane information. -
FIG. 27 is a block diagram showing a configuration of avehicle control device 2 a according to the fourth embodiment. The configuration of thevehicle control device 2 a includes a mapinformation generation section 28 a in addition to the configuration of the first embodiment. - The
navigation control section 19 transmits the traveling locus of the vehicle to other vehicles via at least one of thecommunication section 14, the road-to-vehicle communication unit 23, and the vehicle-to-vehicle communication unit 24. However, the traveling locus of the vehicle may be temporarily stored in other devices and then transmitted from other vehicles. - The map
information generation section 28 a receives the traveling loci of other vehicles via at least one of thecommunication section 14, the road-to-vehicle communication unit 23, and the vehicle-to-vehicle communication unit 24, and performs the processing similar to that of the server control section in the second embodiment or the third embodiment to generate themap information 13 a. - The map
information generation section 28 a may transmit the whole or a part of the generatedmap information 13 a to other vehicles via at least one of thecommunication section 14, the road-to-vehicle communication unit 23, and the vehicle-to-vehicle communication unit 24. - According to the above-described fourth embodiment, the following operational effects can be obtained.
- (1) The
vehicle control device 2 a includes at least one of the vehicle communication section which receives the traveling loci of other vehicles, that is, thecommunication section 14, the road-to-vehicle communication unit 23, and the vehicle-to-vehicle communication unit 24, the virtual lane generation section (i.e., map information generation section 38 a) which generates the virtual lane information relating to the virtual lane virtually set on the road based on the traveling loci of other vehicles received by the vehicle communication section, the targetcourse generation section 28 which generates the target course of the vehicle based on the virtual lane information, and thevehicle control section 39 which causes the vehicle to move along the target course generated by the targetcourse generation section 28. - Therefore, it is possible to obtain the target locus similar to those of other vehicles using the virtual lane information generated by the
vehicle control device 2 a. - Each of the embodiments and modifications described above may be combined.
- Although various embodiments and modifications have been described above, the present invention is not limited to these contents. Other aspects considered within the scope of the technical idea of the present invention are also within the scope of the present invention.
- Contents of disclosure of the following application that can serve as a basis of priority claim are incorporated herein as a reference.
- Japanese Patent Application No. 2015-204670 (filed on Oct. 16, 2015)
-
- 1 vehicle control system
- 2 vehicle control device
- 5 vehicle
- 10 navigation device
- 13 storage section
- 13 a map information
- 14 vehicle communication section
- 18 route calculation section
- 19 navigation control section
- 20 course calculation ECU
- 30 vehicle control ECU
- 28 target course generation section
- 29 control section
- 39 vehicle control section
- 40 server
- 42 server communication section
- 43 server storage section
- 43 a map information
- 49 server control section
Claims (12)
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JPJP2015-204670 | 2015-10-16 | ||
JP2015-204670 | 2015-10-16 | ||
JP2015204670 | 2015-10-16 | ||
PCT/JP2016/080273 WO2017065182A1 (en) | 2015-10-16 | 2016-10-12 | Vehicle control system and vehicle control device |
Publications (2)
Publication Number | Publication Date |
---|---|
US20190078897A1 true US20190078897A1 (en) | 2019-03-14 |
US10982961B2 US10982961B2 (en) | 2021-04-20 |
Family
ID=58517217
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US15/767,260 Active 2037-10-19 US10982961B2 (en) | 2015-10-16 | 2016-10-12 | Vehicle control system and vehicle control device |
Country Status (5)
Country | Link |
---|---|
US (1) | US10982961B2 (en) |
JP (1) | JP6657245B2 (en) |
CN (1) | CN108137045B (en) |
DE (1) | DE112016004370T5 (en) |
WO (1) | WO2017065182A1 (en) |
Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180075745A1 (en) * | 2016-09-15 | 2018-03-15 | Volkswagen Ag | Method for providing information about a vehicle's anticipated driving intention |
US20200209874A1 (en) * | 2018-12-31 | 2020-07-02 | Chongqing Jinkang New Energy Vehicle, Ltd. | Combined virtual and real environment for autonomous vehicle planning and control testing |
EP3760975A1 (en) * | 2019-06-25 | 2021-01-06 | HERE Global B.V. | Method and apparatus for providing inferential location estimation |
CN112639906A (en) * | 2018-08-31 | 2021-04-09 | 株式会社电装 | Vehicle-mounted device |
US20210237735A1 (en) * | 2020-01-30 | 2021-08-05 | Hyundai Motor Company | Method and apparatus for controlling a driving guideline of vehicle moving object |
WO2021160145A1 (en) * | 2020-02-14 | 2021-08-19 | Huawei Technologies Co., Ltd. | System, method and apparatus supporting navigation |
CN113362475A (en) * | 2021-06-29 | 2021-09-07 | 视伴科技(北京)有限公司 | Method and device for verifying generated virtual road directing identification |
EP3846148A3 (en) * | 2020-01-06 | 2021-10-13 | Toyota Jidosha Kabushiki Kaisha | System, management method, automated driving vehicle, and program |
US11214250B2 (en) | 2017-04-27 | 2022-01-04 | Zenrin Co., Ltd. | Travel support device and non-transitory computer-readable medium |
US11565701B2 (en) * | 2018-07-11 | 2023-01-31 | Nissan Motor Co., Ltd. | Driving assist method and driving assist device |
US11629973B2 (en) * | 2019-12-05 | 2023-04-18 | Hyundai Motor Company | System and method for controlling driving lane keeping |
US11683660B2 (en) | 2020-02-06 | 2023-06-20 | Huawei Technologies Co., Ltd. | Method, apparatus and system for determining a location of a mobile device |
WO2023189880A1 (en) * | 2022-03-31 | 2023-10-05 | Denso Corporation | Path prediction based on intersection information from map messages |
WO2023189879A1 (en) * | 2022-03-31 | 2023-10-05 | Denso Corporation | Intersection-based map message generation and broadcasting |
US11845425B2 (en) | 2018-11-09 | 2023-12-19 | Hyundai Motor Company | System, method, infrastructure, and vehicle for automated valet parking |
US20240029558A1 (en) * | 2022-07-20 | 2024-01-25 | Denso Corporation | Obstructed Lane Detection And Warning Method |
US12010583B2 (en) | 2020-02-06 | 2024-06-11 | Huawei Technologies Co., Ltd. | Method, apparatus and system for mobile device location determination |
Families Citing this family (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10288433B2 (en) * | 2010-02-25 | 2019-05-14 | Microsoft Technology Licensing, Llc | Map-matching for low-sampling-rate GPS trajectories |
KR102317546B1 (en) * | 2017-06-13 | 2021-10-27 | 주식회사 만도모빌리티솔루션즈 | Driving control apparatus and driving control method |
WO2019051834A1 (en) * | 2017-09-18 | 2019-03-21 | Baidu.Com Times Technology (Beijing) Co., Ltd. | Driving scenario based lane guidelines for path planning of autonomous driving vehicles |
JP7009919B2 (en) * | 2017-10-30 | 2022-01-26 | 株式会社デンソー | Driving support device and automatic driving system |
US11244566B2 (en) * | 2017-12-12 | 2022-02-08 | Mitsubishi Electric Corporation | Map updating device, map updating system, and map updating method |
JP2019116186A (en) * | 2017-12-27 | 2019-07-18 | アイシン・エィ・ダブリュ株式会社 | Vehicle control system and vehicle control program |
JP7045183B2 (en) * | 2017-12-27 | 2022-03-31 | 株式会社Subaru | Driving support device |
US10585434B2 (en) | 2018-01-10 | 2020-03-10 | GM Global Technology Operations LLC | Relaxable turn boundaries for autonomous vehicles |
JP6634100B2 (en) * | 2018-01-12 | 2020-01-22 | 本田技研工業株式会社 | Trajectory determination device and automatic driving device |
JP7058161B2 (en) * | 2018-03-29 | 2022-04-21 | 株式会社ゼンリン | Control system |
JP7158894B2 (en) * | 2018-05-23 | 2022-10-24 | 株式会社ゼンリン | Control system and program |
KR20210030442A (en) * | 2018-07-12 | 2021-03-17 | 르노 에스.아.에스. | Driving support method and driving support device |
JP7136043B2 (en) * | 2018-08-31 | 2022-09-13 | 株式会社デンソー | TRAVEL TRACK DATA GENERATOR AND TRAVEL DATA GENERATION PROGRAM IN INTERSECTION |
WO2020045428A1 (en) * | 2018-08-31 | 2020-03-05 | 株式会社デンソー | Traveling track data generation device at intersection, traveling track data generation program, and vehicle-mounted device |
JP7132057B2 (en) * | 2018-09-27 | 2022-09-06 | 株式会社Subaru | VEHICLE COMMUNICATION DEVICE, VEHICLE CONTROL SYSTEM AND TRAFFIC SYSTEM USING THE SAME |
JP2019075132A (en) * | 2018-11-29 | 2019-05-16 | 株式会社ゼンリン | Driving support apparatus and program |
JP7172562B2 (en) * | 2018-12-21 | 2022-11-16 | マツダ株式会社 | Driving support device and method |
JP7155043B2 (en) * | 2019-02-28 | 2022-10-18 | 株式会社日立製作所 | Server, vehicle control system |
FR3093690B1 (en) | 2019-03-14 | 2021-02-19 | Renault Sas | Selection process for a motor vehicle of a traffic lane of a roundabout |
JP2021043707A (en) * | 2019-09-11 | 2021-03-18 | 本田技研工業株式会社 | Vehicle controller, vehicle control method, and program |
JP2020109421A (en) * | 2020-03-30 | 2020-07-16 | アイシン・エィ・ダブリュ株式会社 | Recommended area specifying system, recommended area specifying program, recording medium, and recommended area specifying method |
KR102443401B1 (en) * | 2020-06-29 | 2022-09-15 | 주식회사 라이드플럭스 | Method, apparatus and computer program for generating road network data to automatic driving vehicle |
CN112344956B (en) * | 2020-11-05 | 2022-02-25 | 腾讯科技(深圳)有限公司 | Map display method and device |
CN113838283B (en) * | 2021-09-03 | 2022-10-04 | 北京中交兴路信息科技有限公司 | Vehicle position state marking method and device, storage medium and terminal |
CN113788028B (en) * | 2021-09-29 | 2023-01-10 | 腾讯科技(深圳)有限公司 | Vehicle control method, device and computer program product |
US20230316907A1 (en) * | 2022-03-31 | 2023-10-05 | Denso Corporation | Intersection-based offboard vehicle path generation |
Citations (35)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6385539B1 (en) * | 1999-08-13 | 2002-05-07 | Daimlerchrysler Ag | Method and system for autonomously developing or augmenting geographical databases by mining uncoordinated probe data |
US20040230375A1 (en) * | 2003-05-12 | 2004-11-18 | Nissan Motor Co., Ltd. | Automotive lane deviation prevention apparatus |
US20050021195A1 (en) * | 2003-07-21 | 2005-01-27 | Rapistan Systems Advertising Corp. | Dynamic object avoidance with automated guided vehicle |
US20060082472A1 (en) * | 2002-12-27 | 2006-04-20 | Shinya Adachi | Traffic information providing system,traffic information expression method and device |
US20080082261A1 (en) * | 2006-09-07 | 2008-04-03 | Nissan Technical Center North America, Inc. | Vehicle on-board unit |
US20090005979A1 (en) * | 2007-06-29 | 2009-01-01 | Aisin Aw Co., Ltd. | Vehicle position recognition device and vehicle position recognition program |
US20090271071A1 (en) * | 2006-10-09 | 2009-10-29 | Lutz Buerkel | Method for controlling a driver assistance system |
US20100106356A1 (en) * | 2008-10-24 | 2010-04-29 | The Gray Insurance Company | Control and systems for autonomously driven vehicles |
US20100295668A1 (en) * | 2009-05-22 | 2010-11-25 | Toyota Jidosha Kabushiki Kaisha | Driving support apparatus |
US20110276227A1 (en) * | 2008-10-10 | 2011-11-10 | Hitachi Automotive Systems, Ltd. | Driving Support Device |
US20120150379A1 (en) * | 2009-09-07 | 2012-06-14 | Bae Systems Plc | Path determination |
US20120226392A1 (en) * | 2009-11-27 | 2012-09-06 | Toyota Jidosha Kabushiki Kaisha | Driving support apparatus and driving support method |
US20130289875A1 (en) * | 2010-12-28 | 2013-10-31 | Toyota Jidosha Kabushiki Kaisha | Navigation apparatus |
US8626427B2 (en) * | 2011-05-16 | 2014-01-07 | Samsung Electronics Co., Ltd. | User interface method for terminal for vehicle and apparatus thereof |
US20140200801A1 (en) * | 2013-01-16 | 2014-07-17 | Denso Corporation | Vehicle travel path generating apparatus |
US8949016B1 (en) * | 2012-09-28 | 2015-02-03 | Google Inc. | Systems and methods for determining whether a driving environment has changed |
US8954217B1 (en) * | 2012-04-11 | 2015-02-10 | Google Inc. | Determining when to drive autonomously |
US20150134204A1 (en) * | 2012-07-06 | 2015-05-14 | Toyota Jidosha Kabushiki Kaisha | Vehicle cruise control device |
US9165477B2 (en) * | 2013-12-06 | 2015-10-20 | Vehicle Data Science Corporation | Systems and methods for building road models, driver models, and vehicle models and making predictions therefrom |
US9240124B2 (en) * | 2012-08-08 | 2016-01-19 | Hitachi, Ltd. | Traffic-volume prediction device and method |
US9248834B1 (en) * | 2014-10-02 | 2016-02-02 | Google Inc. | Predicting trajectories of objects based on contextual information |
US9279691B2 (en) * | 2013-03-15 | 2016-03-08 | Applied Invention, Llc | Method and apparatus for two-stage planning |
US20160167582A1 (en) * | 2014-12-16 | 2016-06-16 | Here Global B.V. | Learning Lanes From Vehicle Probes |
US9437053B2 (en) * | 2014-01-06 | 2016-09-06 | Geodigital International Inc. | Determining portions of a roadway model requiring updating |
US9528834B2 (en) * | 2013-11-01 | 2016-12-27 | Intelligent Technologies International, Inc. | Mapping techniques using probe vehicles |
US9544736B2 (en) * | 2013-07-31 | 2017-01-10 | Intel Corporation | Techniques for improving location accuracy for virtual maps |
US20170069200A1 (en) * | 2014-03-03 | 2017-03-09 | Zenrin Co., Ltd. | Method of collecting probe information, computer-readable recording media and travel time calculation apparatus |
US9721471B2 (en) * | 2014-12-16 | 2017-08-01 | Here Global B.V. | Learning lanes from radar data |
US20180201271A1 (en) * | 2015-07-15 | 2018-07-19 | Honda Motor Co., Ltd. | Vehicle control device, vehicle control method, and vehicle control program |
US20180267542A1 (en) * | 2015-09-22 | 2018-09-20 | Bluebotics Sa | Virtual line-following and retrofit method for autonomous vehicles |
US10121367B2 (en) * | 2016-04-29 | 2018-11-06 | Ford Global Technologies, Llc | Vehicle lane map estimation |
US10288433B2 (en) * | 2010-02-25 | 2019-05-14 | Microsoft Technology Licensing, Llc | Map-matching for low-sampling-rate GPS trajectories |
US10444020B2 (en) * | 2015-06-03 | 2019-10-15 | Here Global B.V. | Method and apparatus for defining road geometry from probe data |
US10533863B2 (en) * | 2014-10-10 | 2020-01-14 | Here Global B.V. | Apparatus and associated methods for use in lane-level mapping of road intersections |
US10546400B2 (en) * | 2015-06-03 | 2020-01-28 | Here Global B.V. | Method and apparatus for defining bi-directional road geometry from probe data |
Family Cites Families (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5416477A (en) * | 1990-11-06 | 1995-05-16 | Matsushita Electric Industrial Co., Ltd. | Navigation system mounted on vehicle |
JP2002123894A (en) * | 2000-10-16 | 2002-04-26 | Hitachi Ltd | Method and apparatus for controlling probe car and traffic control system using probe car |
DE602004004591T2 (en) * | 2004-10-01 | 2007-08-16 | C.R.F. S.C.P.A. | Method for determining the position of a vehicle with respect to another vehicle, in particular for motor vehicles |
JP4853005B2 (en) * | 2005-12-12 | 2012-01-11 | 株式会社豊田中央研究所 | Vehicle running simulation device |
JP5130638B2 (en) * | 2006-03-22 | 2013-01-30 | 日産自動車株式会社 | Avoidance operation calculation device, avoidance control device, vehicle including each device, avoidance operation calculation method, and avoidance control method |
US8073617B2 (en) * | 2006-12-27 | 2011-12-06 | Aisin Aw Co., Ltd. | Map information generating systems, methods, and programs |
JP5258427B2 (en) | 2007-07-17 | 2013-08-07 | クラリオン株式会社 | Navigation device and lane guidance method |
JP5288423B2 (en) * | 2011-04-11 | 2013-09-11 | 株式会社日立製作所 | Data distribution system and data distribution method |
CN104044557A (en) * | 2013-03-14 | 2014-09-17 | 厦门歌乐电子企业有限公司 | Contact method and vehicle warning device based on vehicle abnormal condition |
US8788176B1 (en) * | 2013-06-19 | 2014-07-22 | Ford Global Technologies, Llc | Adjustable threshold for forward collision warning system |
JP6197393B2 (en) * | 2013-06-20 | 2017-09-20 | 株式会社豊田中央研究所 | Lane map generation device and program |
DE102013218280A1 (en) * | 2013-09-12 | 2015-03-12 | Volkswagen Aktiengesellschaft | TTC-based approach for determining the risk of collision |
JP6313103B2 (en) | 2014-04-11 | 2018-04-18 | 河村電器産業株式会社 | cabinet |
JP5961821B2 (en) * | 2014-07-02 | 2016-08-02 | パナソニックIpマネジメント株式会社 | Driving assistance device |
CA2973110A1 (en) * | 2015-01-05 | 2016-07-14 | Nissan Motor Co., Ltd. | Target pathway generating device and driving control device |
JP6668895B2 (en) * | 2016-04-01 | 2020-03-18 | 株式会社デンソー | Driving support device |
JP6573595B2 (en) * | 2016-11-29 | 2019-09-11 | 株式会社Subaru | Automatic operation control device |
KR102568114B1 (en) * | 2016-11-30 | 2023-08-18 | 현대오토에버 주식회사 | Apparatus for controlling autonomous driving and method thereof |
-
2016
- 2016-10-12 US US15/767,260 patent/US10982961B2/en active Active
- 2016-10-12 DE DE112016004370.8T patent/DE112016004370T5/en active Pending
- 2016-10-12 CN CN201680054627.2A patent/CN108137045B/en active Active
- 2016-10-12 WO PCT/JP2016/080273 patent/WO2017065182A1/en active Application Filing
- 2016-10-12 JP JP2017545441A patent/JP6657245B2/en active Active
Patent Citations (40)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6385539B1 (en) * | 1999-08-13 | 2002-05-07 | Daimlerchrysler Ag | Method and system for autonomously developing or augmenting geographical databases by mining uncoordinated probe data |
US20060082472A1 (en) * | 2002-12-27 | 2006-04-20 | Shinya Adachi | Traffic information providing system,traffic information expression method and device |
US20040230375A1 (en) * | 2003-05-12 | 2004-11-18 | Nissan Motor Co., Ltd. | Automotive lane deviation prevention apparatus |
US20050021195A1 (en) * | 2003-07-21 | 2005-01-27 | Rapistan Systems Advertising Corp. | Dynamic object avoidance with automated guided vehicle |
US20080082261A1 (en) * | 2006-09-07 | 2008-04-03 | Nissan Technical Center North America, Inc. | Vehicle on-board unit |
US8655543B2 (en) * | 2006-09-07 | 2014-02-18 | Nissan North America, Inc. | Vehicle on-board unit |
US20090271071A1 (en) * | 2006-10-09 | 2009-10-29 | Lutz Buerkel | Method for controlling a driver assistance system |
US20090005979A1 (en) * | 2007-06-29 | 2009-01-01 | Aisin Aw Co., Ltd. | Vehicle position recognition device and vehicle position recognition program |
US20110276227A1 (en) * | 2008-10-10 | 2011-11-10 | Hitachi Automotive Systems, Ltd. | Driving Support Device |
US8412449B2 (en) * | 2008-10-24 | 2013-04-02 | Gray & Company, Inc. | Control and systems for autonomously driven vehicles |
US20100106356A1 (en) * | 2008-10-24 | 2010-04-29 | The Gray Insurance Company | Control and systems for autonomously driven vehicles |
US20100295668A1 (en) * | 2009-05-22 | 2010-11-25 | Toyota Jidosha Kabushiki Kaisha | Driving support apparatus |
US20120150379A1 (en) * | 2009-09-07 | 2012-06-14 | Bae Systems Plc | Path determination |
US8744664B2 (en) * | 2009-09-07 | 2014-06-03 | Bae Systems Plc | Path determination |
US20120226392A1 (en) * | 2009-11-27 | 2012-09-06 | Toyota Jidosha Kabushiki Kaisha | Driving support apparatus and driving support method |
US10288433B2 (en) * | 2010-02-25 | 2019-05-14 | Microsoft Technology Licensing, Llc | Map-matching for low-sampling-rate GPS trajectories |
US20130289875A1 (en) * | 2010-12-28 | 2013-10-31 | Toyota Jidosha Kabushiki Kaisha | Navigation apparatus |
US8626427B2 (en) * | 2011-05-16 | 2014-01-07 | Samsung Electronics Co., Ltd. | User interface method for terminal for vehicle and apparatus thereof |
US8954217B1 (en) * | 2012-04-11 | 2015-02-10 | Google Inc. | Determining when to drive autonomously |
US20150134204A1 (en) * | 2012-07-06 | 2015-05-14 | Toyota Jidosha Kabushiki Kaisha | Vehicle cruise control device |
US9399464B2 (en) * | 2012-07-06 | 2016-07-26 | Toyota Jidosha Kabushiki Kaisha | Vehicle cruise control device |
US9240124B2 (en) * | 2012-08-08 | 2016-01-19 | Hitachi, Ltd. | Traffic-volume prediction device and method |
US8949016B1 (en) * | 2012-09-28 | 2015-02-03 | Google Inc. | Systems and methods for determining whether a driving environment has changed |
US20140200801A1 (en) * | 2013-01-16 | 2014-07-17 | Denso Corporation | Vehicle travel path generating apparatus |
US9279691B2 (en) * | 2013-03-15 | 2016-03-08 | Applied Invention, Llc | Method and apparatus for two-stage planning |
US9544736B2 (en) * | 2013-07-31 | 2017-01-10 | Intel Corporation | Techniques for improving location accuracy for virtual maps |
US9528834B2 (en) * | 2013-11-01 | 2016-12-27 | Intelligent Technologies International, Inc. | Mapping techniques using probe vehicles |
US9165477B2 (en) * | 2013-12-06 | 2015-10-20 | Vehicle Data Science Corporation | Systems and methods for building road models, driver models, and vehicle models and making predictions therefrom |
US9437053B2 (en) * | 2014-01-06 | 2016-09-06 | Geodigital International Inc. | Determining portions of a roadway model requiring updating |
US20170069200A1 (en) * | 2014-03-03 | 2017-03-09 | Zenrin Co., Ltd. | Method of collecting probe information, computer-readable recording media and travel time calculation apparatus |
US9248834B1 (en) * | 2014-10-02 | 2016-02-02 | Google Inc. | Predicting trajectories of objects based on contextual information |
US10533863B2 (en) * | 2014-10-10 | 2020-01-14 | Here Global B.V. | Apparatus and associated methods for use in lane-level mapping of road intersections |
US20160167582A1 (en) * | 2014-12-16 | 2016-06-16 | Here Global B.V. | Learning Lanes From Vehicle Probes |
US10262213B2 (en) * | 2014-12-16 | 2019-04-16 | Here Global B.V. | Learning lanes from vehicle probes |
US9721471B2 (en) * | 2014-12-16 | 2017-08-01 | Here Global B.V. | Learning lanes from radar data |
US10444020B2 (en) * | 2015-06-03 | 2019-10-15 | Here Global B.V. | Method and apparatus for defining road geometry from probe data |
US10546400B2 (en) * | 2015-06-03 | 2020-01-28 | Here Global B.V. | Method and apparatus for defining bi-directional road geometry from probe data |
US20180201271A1 (en) * | 2015-07-15 | 2018-07-19 | Honda Motor Co., Ltd. | Vehicle control device, vehicle control method, and vehicle control program |
US20180267542A1 (en) * | 2015-09-22 | 2018-09-20 | Bluebotics Sa | Virtual line-following and retrofit method for autonomous vehicles |
US10121367B2 (en) * | 2016-04-29 | 2018-11-06 | Ford Global Technologies, Llc | Vehicle lane map estimation |
Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10964216B2 (en) * | 2016-09-15 | 2021-03-30 | Volkswagen Ag | Method for providing information about a vehicle's anticipated driving intention |
US20180075745A1 (en) * | 2016-09-15 | 2018-03-15 | Volkswagen Ag | Method for providing information about a vehicle's anticipated driving intention |
US11214250B2 (en) | 2017-04-27 | 2022-01-04 | Zenrin Co., Ltd. | Travel support device and non-transitory computer-readable medium |
US11565701B2 (en) * | 2018-07-11 | 2023-01-31 | Nissan Motor Co., Ltd. | Driving assist method and driving assist device |
CN112639906A (en) * | 2018-08-31 | 2021-04-09 | 株式会社电装 | Vehicle-mounted device |
US11845425B2 (en) | 2018-11-09 | 2023-12-19 | Hyundai Motor Company | System, method, infrastructure, and vehicle for automated valet parking |
US20200209874A1 (en) * | 2018-12-31 | 2020-07-02 | Chongqing Jinkang New Energy Vehicle, Ltd. | Combined virtual and real environment for autonomous vehicle planning and control testing |
EP3760975A1 (en) * | 2019-06-25 | 2021-01-06 | HERE Global B.V. | Method and apparatus for providing inferential location estimation |
US11629973B2 (en) * | 2019-12-05 | 2023-04-18 | Hyundai Motor Company | System and method for controlling driving lane keeping |
US11644332B2 (en) | 2020-01-06 | 2023-05-09 | Toyota Jidosha Kabushiki Kaisha | Automated driving vehicle management system, method, and program |
EP3846148A3 (en) * | 2020-01-06 | 2021-10-13 | Toyota Jidosha Kabushiki Kaisha | System, management method, automated driving vehicle, and program |
EP4057253A1 (en) * | 2020-01-06 | 2022-09-14 | Toyota Jidosha Kabushiki Kaisha | System, management method, automated driving vehicle, and program |
US20210237735A1 (en) * | 2020-01-30 | 2021-08-05 | Hyundai Motor Company | Method and apparatus for controlling a driving guideline of vehicle moving object |
US11975718B2 (en) * | 2020-01-30 | 2024-05-07 | Hyundai Motor Company | Method and apparatus for controlling a driving guideline of vehicle moving object |
US11683660B2 (en) | 2020-02-06 | 2023-06-20 | Huawei Technologies Co., Ltd. | Method, apparatus and system for determining a location of a mobile device |
US12010583B2 (en) | 2020-02-06 | 2024-06-11 | Huawei Technologies Co., Ltd. | Method, apparatus and system for mobile device location determination |
WO2021160145A1 (en) * | 2020-02-14 | 2021-08-19 | Huawei Technologies Co., Ltd. | System, method and apparatus supporting navigation |
CN113362475A (en) * | 2021-06-29 | 2021-09-07 | 视伴科技(北京)有限公司 | Method and device for verifying generated virtual road directing identification |
WO2023189880A1 (en) * | 2022-03-31 | 2023-10-05 | Denso Corporation | Path prediction based on intersection information from map messages |
WO2023189879A1 (en) * | 2022-03-31 | 2023-10-05 | Denso Corporation | Intersection-based map message generation and broadcasting |
US20240029558A1 (en) * | 2022-07-20 | 2024-01-25 | Denso Corporation | Obstructed Lane Detection And Warning Method |
Also Published As
Publication number | Publication date |
---|---|
CN108137045A (en) | 2018-06-08 |
US10982961B2 (en) | 2021-04-20 |
JP6657245B2 (en) | 2020-03-04 |
CN108137045B (en) | 2021-07-06 |
DE112016004370T5 (en) | 2018-06-07 |
WO2017065182A1 (en) | 2017-04-20 |
JPWO2017065182A1 (en) | 2018-08-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10982961B2 (en) | Vehicle control system and vehicle control device | |
CN107430807B (en) | Automatic driving assistance system, automatic driving assistance method, and computer program | |
CN113631448B (en) | Vehicle control method and vehicle control device | |
KR102053552B1 (en) | Driving planner, driving aid, driving planner | |
JP7347523B2 (en) | Vehicle control device and vehicle control method | |
EP2002210B1 (en) | A driving aid system for creating a model of surroundings of a vehicle | |
US20180056998A1 (en) | System and Method for Multi-Vehicle Path Planning Technical Field | |
US20230115708A1 (en) | Automatic driving device and vehicle control method | |
CN112469970B (en) | Method for estimating the positioning quality in terms of self-positioning of a vehicle, device for carrying out the method steps of the method, and computer program | |
US20230147535A1 (en) | Vehicle position estimation device and traveling control device | |
JP7315101B2 (en) | Obstacle information management device, obstacle information management method, vehicle device | |
JP2009075933A (en) | Position calculation device in branched road, position calculation method in branched road, and position calculation program in branched road | |
JP7452650B2 (en) | Parking/stopping point management device, parking/stopping point management method, vehicle device | |
JP7152339B2 (en) | Travel control device, travel control method, and program | |
CN112513955A (en) | Travel track generation method and travel track generation device | |
JP2021041859A (en) | Vehicle control device | |
CN114286774B (en) | Detecting potentially occluded objects for autonomous vehicles | |
US20230256992A1 (en) | Vehicle control method and vehicular device | |
CN114830207A (en) | Automatic driving device, rule determination device, automatic driving method, and rule determination method | |
US11292491B2 (en) | Server and vehicle control system | |
US11685404B2 (en) | Autonomous driving control method and autonomous driving control system | |
JP7167732B2 (en) | map information system | |
JP2021196874A (en) | Driving support method and driving support device | |
JP6971315B2 (en) | Information management device | |
JP2022159718A (en) | Control device and control system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: CLARION CO., LTD., JAPAN Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:SUMIZAWA, AKIO;REEL/FRAME:045494/0422 Effective date: 20180215 Owner name: HITACHI AUTOMOTIVE SYSTEMS, LTD., JAPAN Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:SUMIZAWA, AKIO;REEL/FRAME:045494/0422 Effective date: 20180215 |
|
FEPP | Fee payment procedure |
Free format text: ENTITY STATUS SET TO UNDISCOUNTED (ORIGINAL EVENT CODE: BIG.); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: PUBLICATIONS -- ISSUE FEE PAYMENT RECEIVED |
|
STPP | Information on status: patent application and granting procedure in general |
Free format text: PUBLICATIONS -- ISSUE FEE PAYMENT VERIFIED |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
AS | Assignment |
Owner name: HITACHI ASTEMO, LTD., JAPAN Free format text: CHANGE OF NAME;ASSIGNOR:HITACHI AUTOMOTIVE SYSTEMS, LTD.;REEL/FRAME:057655/0824 Effective date: 20210101 |
|
AS | Assignment |
Owner name: HITACHI ASTEMO, LTD., JAPAN Free format text: NUNC PRO TUNC ASSIGNMENT;ASSIGNOR:CLARION CO., LTD.;REEL/FRAME:059514/0489 Effective date: 20220328 |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 4 |